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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Integrating swin transfer" (30 stories)

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Integrating simplified Swin-T with modified EFS-Net for attention-guided underwater pipelines segmentation in complex underwater environments
Lead StoryNatureworld
Feb 2

Integrating simplified Swin-T with modified EFS-Net for attention-guided underwater pipelines segmentation in complex underwater environments

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5EX3BkWUxWcXhNRURHVkFoRFRmZThUbkpHeXViNlQ4c28wNDBILXFzVmZlX1hkNUtkaGpvX1ViYjZXU1JXaWN2bWROaWQ3VEUwM1BTd2F4ckVfd1F2b01F?oc=5" target="_blank">Integrating simplified Swin-T with modified EFS-Net for attention-guided underwater pipelines segmentation in complex underwater environments</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Integrating swin transfer"

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29 stories displayed
Hybrid deep ensemble architecture for robust diabetic retinopathy classification: leveraging transfer learning and CNN-transformer synergy
Naturegeneral

Hybrid deep ensemble architecture for robust diabetic retinopathy classification: leveraging transfer learning and CNN-transformer synergy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1KeUh5T1pvb1ZvOVd6Zm5ZX0QzbUFKQ1hjR2Q5eXN0cTBqT0IyYTRWaHlxQ3hqUGNSeWZlTm1IMTNSektRY2VYTHpzWC1sTTNsUzEzUmp4SHNWblRzRU9J?oc=5" target="_blank">Hybrid deep ensemble architecture for robust diabetic retinopathy classification: leveraging transfer learning and CNN-transformer synergy</a>  <font color="#6f6f6f">Nature</font>

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ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing
Naturegeneral

ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1kTU9PSlZWUC1sQ3Fua2gtX24wUjRFQXgtUlVSajA1TC1FZ3ZVemZSVVFqRlJvSThCNFY5WDVyNWY2WGJUU2lidXUxU0ZIbFRBLXFxTjQzQkl6ZjU5NkNv?oc=5" target="_blank">ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing</a>  <font color="#6f6f6f">Nature</font>

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Advanced gastrointestinal tract organ differentiation using an integrated swin transformer U-Net model for cancer care
Frontiersgeneral

Advanced gastrointestinal tract organ differentiation using an integrated swin transformer U-Net model for cancer care

<a href="https://news.google.com/rss/articles/CBMijAFBVV95cUxPWF8wNkt2aHNWcUNuSnBJRTZHczRNcFEzUnVqa3NETEl1aUhESDBVWXdEb1lTT1VfMmhpcFZ6akNNdDE1ejFyTjBMaVNESWhsamhweFRvSGwzSy1jMkRQWTR3MF9SWnhPbjRPd3R6M2wyMk5NVzJSTGMzUWkxNDViUnZkMVRvckIyTmNVcQ?oc=5" target="_blank">Advanced gastrointestinal tract organ differentiation using an integrated swin transformer U-Net model for cancer care</a>  <font color="#6f6f6f">Frontiers</font>

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A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans
Natureworld

A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqSS0zam1GdnJLSHd4RTBDR0dtcjlORzdFcUttd3BnaFdiOEdEWEg2bl9ZRVA2bnRkbnotZ1R4NVJkZEpmVWx0N2MxUUNPX0RzQnhXZ3I4XzUybU9XZHVn?oc=5" target="_blank">A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans</a>  <font color="#6f6f6f">Nature</font>

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Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance
Naturegeneral

Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ZVUxSZ0kwZ1FDRWZkRUQwZ05CQzczbjBmeXd1bEw3cTBjN0p1dXVkYnYyRXFQQ2Ruc3dCNGRKc25DSlFyMUt2SHowRG1kRmZiMlJDVnZ2T3FSOC1CMFFB?oc=5" target="_blank">Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance</a>  <font color="#6f6f6f">Nature</font>

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A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network
Naturegeneral

A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1BOXg3QVVLY1VjbWlqdVRMQ1UxTkZQUjNHdTEwVjFzNUN3VUdFdmQ0SlU2MFJ5a0xHMTktaVZmNVRxN1JGTWdxcV9RVlAzMmhqQ3ZUcHpacFlrMGtEVGg0?oc=5" target="_blank">A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network</a>  <font color="#6f6f6f">Nature</font>

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Quantum integration in swin transformer mitigates overfitting in breast cancer screening
Naturegeneral

Quantum integration in swin transformer mitigates overfitting in breast cancer screening

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBpZlc0bzZYMHM1bTBpbnN1YzRlQzl3bHZlNmx5aDBncVhfcFJlZ0l2YU1IY2JCTzJpVjdqNlRkWUFDWDhoRGVEa1ZnVG0yY0ZsZ2swcXRDcEVEc1hSSWl3?oc=5" target="_blank">Quantum integration in swin transformer mitigates overfitting in breast cancer screening</a>  <font color="#6f6f6f">Nature</font>

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A truth inference scheme for crowdsourcing using NLP and swin transformers
Naturegeneral

A truth inference scheme for crowdsourcing using NLP and swin transformers

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KZXRiYXE1b0g2V1FQWTBsWm50ZUp6d1ZKaFpUQm1KNVJ0R3FxWGZPYlVPcVZQVUI3WF9OendrWjZCUXFzVnBlalRfanJrM3hMdkFMZTY4RjFlS0QxU1dJ?oc=5" target="_blank">A truth inference scheme for crowdsourcing using NLP and swin transformers</a>  <font color="#6f6f6f">Nature</font>

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Capsule-enhanced hierarchical vision transformers for rare disease classification from medical images
Naturegeneral

Capsule-enhanced hierarchical vision transformers for rare disease classification from medical images

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1MZVdRaEU5ZVJqVEdrVW5DY0p4eTBSMG1Wb2FrLUFzN2ptLWU5c2lGZlVGNUNaOFFUQUdYZlg2Y0gyVDlzRFNpSmdIWWQzLXk4MGRfelhqS0tYMkluS21r?oc=5" target="_blank">Capsule-enhanced hierarchical vision transformers for rare disease classification from medical images</a>  <font color="#6f6f6f">Nature</font>

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Integrating visual transformers with biomechanical constraints for action quality assessment in competitive sports
Naturetech

Integrating visual transformers with biomechanical constraints for action quality assessment in competitive sports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4wVUQwcUE4U1otZDJ0MXJra3liZFZJUWhrQzg4b1d5QzZ5eDhiSF9fODhkY1I0aWhtbXpOWGktUG9iZlhrNDJzcUd3MTRIYVV4WTZtYjk0ZnBQd3FoLWJN?oc=5" target="_blank">Integrating visual transformers with biomechanical constraints for action quality assessment in competitive sports</a>  <font color="#6f6f6f">Nature</font>

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SEFormer for medical image segmentation with integrated global and local features
Naturegeneral

SEFormer for medical image segmentation with integrated global and local features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ybER4WjhjNks0OUxtd3poOXJhdkNMQ0l2YTdncWFFVzViTWF3cWRHTUktODEwbnNqZzNjeUVpUm54TnhwanBZSDNzblkwc1RBMk5CT0hVVzhUMmFlQmVN?oc=5" target="_blank">SEFormer for medical image segmentation with integrated global and local features</a>  <font color="#6f6f6f">Nature</font>

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Dual-model approach for accurate chest disease detection using GViT and swin transformer V2
Naturegeneral

Dual-model approach for accurate chest disease detection using GViT and swin transformer V2

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4teF9LcVZFZG43VzdPYUE2alBveG96YmRPNFhUeENpaHcyd1pQQmZ4bGN4Y3JDU2pEV1B1MDBVYkNLZ1l5YkRmeDkxeWNvellBN0drUWxfUUZhMlpUNEJv?oc=5" target="_blank">Dual-model approach for accurate chest disease detection using GViT and swin transformer V2</a>  <font color="#6f6f6f">Nature</font>

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NeXtSwin-X: dual-branch cross-attention fusion of ConvNeXt and swin transformer for accurate brain tumor classification from MRI and CT
Naturetech

NeXtSwin-X: dual-branch cross-attention fusion of ConvNeXt and swin transformer for accurate brain tumor classification from MRI and CT

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ka0gzM3B5SWJBSW82Y3J2LWNtMDBUbDdnRlNKWjdCdFU1NlNDS1VuT2g4VUJuQmFKWjMtRjN5LS1aUHRFb29NUzhPemcyMWFmRDJibEQ2UUlCNFk2VGdF?oc=5" target="_blank">NeXtSwin-X: dual-branch cross-attention fusion of ConvNeXt and swin transformer for accurate brain tumor classification from MRI and CT</a>  <font color="#6f6f6f">Nature</font>

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Lightweight SwiM-UNet with multi-dimensional adaptor for efficient on-device medical image segmentation
Natureworld

Lightweight SwiM-UNet with multi-dimensional adaptor for efficient on-device medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE41SnBmMWVJR2FxRkVtSlVTR3VwZVFCWFNxNUU3U1I0LUFqaEx4bThCQkc0a1JVcERuUWxxb2UteDU4UzBId1M5aDFxakFVOVh0cmpPeG5Xc1NjQTZPd0ow?oc=5" target="_blank">Lightweight SwiM-UNet with multi-dimensional adaptor for efficient on-device medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

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Optimized federated learning framework with RegNetZ and Swin-Transformer for multimodal pancreatic cancer detection1
Naturemarkets

Optimized federated learning framework with RegNetZ and Swin-Transformer for multimodal pancreatic cancer detection1

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0yRS1vT2x5RGQ4cndabFphaUFxMVl3OFZTaEZDQW1jX0g2b3FZQV9aeXBsSFkxdC00bFdWT29oQVM4VjlMcWRJVS1IeTVfTVhmdGVWZ3Jpc3hhX0QySWZJ?oc=5" target="_blank">Optimized federated learning framework with RegNetZ and Swin-Transformer for multimodal pancreatic cancer detection1</a>  <font color="#6f6f6f">Nature</font>

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ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases
Naturegeneral

ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9CejYwLUllXzQxOFBuZ3pCLUNPaHE3b2pJTU9PVVVEbEI1T3BDSmNkVVpCNnBlZmhfTmkxTTUwVlU0eFdXVDRaTEcwWDlma3p2S3RGVEtTcjM5eFo4UmZJ?oc=5" target="_blank">ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases</a>  <font color="#6f6f6f">Nature</font>

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Medical image segmentation by combining feature enhancement Swin Transformer and UperNet
Naturegeneral

Medical image segmentation by combining feature enhancement Swin Transformer and UperNet

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9EYW1lUFNHWnpDX0ZmTDNrWTJ3UUQ1dHcydkNmZHBRNTJFblVGNm5XZXdpaERPbUxjRWhwT3B2VGowMXVlYkJINkNwLWJhS3F5S05aaDJWekdfQmZuS3FN?oc=5" target="_blank">Medical image segmentation by combining feature enhancement Swin Transformer and UperNet</a>  <font color="#6f6f6f">Nature</font>

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Enhancing lung cancer detection through integrated deep learning and transformer models
Natureworld

Enhancing lung cancer detection through integrated deep learning and transformer models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Uc2NUaUlGaTl2RkFKQkg3VWZqSWs0aWdqX1ZtajVrdzhfbjM0SEZtOW1HQ2FuR2t5M0dpc3ZwVzNkcGdvRzI3SXBtdE8wSGVQcGt0M3M3amJhYzFaTkpr?oc=5" target="_blank">Enhancing lung cancer detection through integrated deep learning and transformer models</a>  <font color="#6f6f6f">Nature</font>

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SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification
Naturegeneral

SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9OOTAwRTJic2FhMDNEQlJISjBkZ2diMG04X1JKWWZReF9ZQmxWY3cwYVlJTjVRc2ZXMXFTb09QVmc0a0V2RFF2NW1iTV9zeXp6ZEtsYXdNeFJweElLOVNF?oc=5" target="_blank">SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification</a>  <font color="#6f6f6f">Nature</font>

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Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification
Naturegeneral

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5mZ0U1N1B4YkZPdk1qTllVQUlQX19iWkdWR3FKX3ZOMDNZMTNSWWJzLUx1ZkNpSkFHV19nU2FPT2xfLVNkb3pjcVgwbDEwcVpKNmxaeE1ramdLVm11UG9F?oc=5" target="_blank">Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification</a>  <font color="#6f6f6f">Nature</font>

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MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI
Naturetech

MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBXYTVQMnBNWW1oRTl5OVZLM1ZHTGVFZ1dTYVlhYy15Slp1Q0RZSmNjeHZQWTd1ay00cFNzM0VUQlpyWGR3T3JhZlZuQXpqbjhsNGs2T2dEbk1JbzduM0R3?oc=5" target="_blank">MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI</a>  <font color="#6f6f6f">Nature</font>

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Low resolution remote sensing object detection with fine grained enhancement and swin transformer
Naturetech

Low resolution remote sensing object detection with fine grained enhancement and swin transformer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1nTE5EYkJHZHk2UjJVMndZMFVISU1OR2NZTlhpQnZBODlxWU9MRURrOHlLT21IWl9nemdZR3JXRG9nM2tKeVo1LWN5akZmemcxdmxvblF6akJkc1lkNmJN?oc=5" target="_blank">Low resolution remote sensing object detection with fine grained enhancement and swin transformer</a>  <font color="#6f6f6f">Nature</font>

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A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba
Naturegeneral

A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBaNHVLZ2ZzUXFVUHV6ZExqWmVzMHdxZFVlZktady1QM094bG5JYkRnblFnTGljbHY4dnl3UllLWlRaaUVpcnZtMk84X0dBeUVzUHVZVnV0QTBNQmVIRjdB?oc=5" target="_blank">A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba</a>  <font color="#6f6f6f">Nature</font>

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Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP
Frontiersgeneral

Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxPMVdTazhVYnBTdGt5dGhCRlFYaXE3a0JISGNDZ1M0YWJVZmxuV3lubjlEUnhuS3JfTWx3U0QwUEp0MlRlSmptNXF1SkZzaUZmWEFLU09IRWdfYWFzRDZjRzhndjlkSzl3T3MybmhVcnI3NUNxQ3gwZ1JncDMxU0RkYXBxeTh4aXRuVExpNzExX3JISjRBS3c?oc=5" target="_blank">Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP</a>  <font color="#6f6f6f">Frontiers</font>

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TransBreastNet a CNN transformer hybrid deep learning framework for breast cancer subtype classification and temporal lesion progression analysis
Naturegeneral

TransBreastNet a CNN transformer hybrid deep learning framework for breast cancer subtype classification and temporal lesion progression analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5vZ2syZWJRU2ZlTGxFeXhDUVdMdzRGTy1wNmtXX01GcjBqX3ItLXNISDVGNEl1STJHU2I2TWo0Ujg4ZlNISG0zdC1BWUJrWUJ6RFMyYkhDaFZXRTVnOThj?oc=5" target="_blank">TransBreastNet a CNN transformer hybrid deep learning framework for breast cancer subtype classification and temporal lesion progression analysis</a>  <font color="#6f6f6f">Nature</font>

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An explainable hybrid CNN–transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation
Naturetech

An explainable hybrid CNN–transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE10OVpEWERBVTIwcGtxdFJRemFFeVNZVU1xQ29mdEg5QmlJdEdUZjIyNXRYMHpWWElsTFZmNllNNlVKTFdfZDhMajEtY2dqdUhyUzZaOThYSEkyT1c3ZzNF?oc=5" target="_blank">An explainable hybrid CNN–transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation</a>  <font color="#6f6f6f">Nature</font>

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BiFPN-enhanced SwinDAT-based cherry variety classification with YOLOv8 | Scientific Reports
Naturegeneral

BiFPN-enhanced SwinDAT-based cherry variety classification with YOLOv8 | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE83SXRheXl1R3J0N2NPQ0dvMWI5cFphdndlRTdPWlh5eDRZaldlV0xIbmc5N2lZTkIzV3Q0UkR4bkVxODNtTGxSQWxNNDJmYWJSUG0xNTlwNHdtR05Xd0x3?oc=5" target="_blank">BiFPN-enhanced SwinDAT-based cherry variety classification with YOLOv8 | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Research on Alzheimer’s disease MRI image classification based on spatial attention mechanism
Frontiersgeneral

Research on Alzheimer’s disease MRI image classification based on spatial attention mechanism

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxObXpnUHRMc3J5bEVweU45b2QySm1wdnBwTWlzZTlEVUhhREQ4UDJUa0ExNmFQMjRSb1ZIWlhpSk5rMG0wZngwUm1kSGVxSEVTZjQ0LVhNQktiek5QT3FKcFd2OEZ1NmJWSkdyVXRJc2otR29NMWZUWmxiWXJBb2tEODNkT1FYRzRqeWY5bFZuTkhJNUM0RVctdk1uQS0?oc=5" target="_blank">Research on Alzheimer’s disease MRI image classification based on spatial attention mechanism</a>  <font color="#6f6f6f">Frontiers</font>

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Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model
Naturegeneral

Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1HekJOYl94b0QzenAwa1QzaWVyUGJqZUxrUEd2MlkxQ1YzdVR4aUszUVFhT01SVDdqS3JoaXdYaGx5VmdQdnpLd3NaVjNCUkdISW9hUWFjSjF1cENmVGhR?oc=5" target="_blank">Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model</a>  <font color="#6f6f6f">Nature</font>

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