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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Vision transformer based" (30 stories)

Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI) | Scientific Reports

Lead StoryNaturetech

Feb 17

Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI) | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9oWXVuZUVjeDNZeDhYTmo0WGpiZ0k2RXYzNWphYTBFdkxjSmJoU3VlYjB3OTcyanFZMFNFMUhXbXFwRW45ZDd0WThuSnlnQ1cyOXR3b2xkNVJCRW5JY3E4?oc=5" target="_blank">Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI) | Scientific Reports</a>&nbsp;&nbsp;Nature

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Search Results for "Vision transformer based"

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A Vision Transformer– and Radiomics-based Model for Predicting Liver Metastasis-Free Survival in Patients with Rectal Cancer

RSNA Journalsgeneral

Sep 18

A Vision Transformer– and Radiomics-based Model for Predicting Liver Metastasis-Free Survival in Patients with Rectal Cancer

<a href="https://news.google.com/rss/articles/CBMiWkFVX3lxTE5sRFlpYlNxRFlJU3lCQXVzMkZjS29tXzRSSWMzM0lZNlA2Ry1HVVZzNnlKbnJQdXlyMU14UnpEYjVSUUpXSUlhdWwtTzJSekNxTVNYRmk1TUNwZw?oc=5" target="_blank">A Vision Transformer– and Radiomics-based Model for Predicting Liver Metastasis-Free Survival in Patients with Rectal Cancer</a>&nbsp;&nbsp;RSNA Journals

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Different BI-RADS breast cancer diagnosis using MobileNetV1 and vision transformer based on explainable artificial intelligence (XAI) | Scientific Reports

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Search Results for "Vision transformer based"

A Vision Transformer– and Radiomics-based Model for Predicting Liver Metastasis-Free Survival in Patients with Rectal Cancer

A transformer-based multi-modal fusion framework for laryngeal lesion classification using contact endoscopy

Neonatal jaundice detection using a vision transformer-based deep learning model

ViTCNN: a robust hybrid CNN–Vision Transformer based deep learning framework for multi-disease diagnosis in women’s healthcare

Multiscale object detection model based on pyramid vision transformer

MedFuse: dual-stream fusion of convolutional and vision transformer-based features for enhanced medical image classification

Hybrid vision transformer and ensemble machine learning framework for automated atherosclerotic plaque classification in intravascular ultrasound imaging

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening

Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing

3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data

A vision transformer model for the detection of glaucoma from optic disc photographs

Advanced deep learning vision transformer models for intelligent grain counting in agricultural data analytics

SkinFormer: a hybrid vision transformer and ConvNeXtV2 approach for skin cancer detection and segmentation

A novel deep transformer based CvT model for sign language recognition in visual communication

Vision transformer framework for host based cryptojacking malware detection

A hybrid ResNet50-vision transformer model with an attention mechanism for aerial image classification

Visual perception based deep learning transformers for classifying paintings and photographs through feature extraction

An explainable vision transformer model with transfer learning for accurate bean leaf disease classification

Explainable AI for diabetic retinopathy detection using vision transformers

An automated framework to classify skin lesions using Multi-Head Self Attention Layer-based Vision Transformers

Hybrid vision transformer framework for congenital heart disease diagnosis

Hybrid vision transformer and graph neural network model with region-adaptive attention for enhanced skin cancer prediction

A novel vision transformer model produces clock drawing test scores as accurate as expert human coders

Hessian-guided mixed-precision quantization of vision transformers under hardware constraints

Convolutional low-rank adaptation for efficient semantic segmentation in vision transformers

BrainGraphNet-ViT model: a hybrid model combining vision transformers and graph convolutional networks for brain tumor diagnosis

HybridViT-CAB: a vision transformer and convolutional attention network for precision weed detection in agricultural systems

Class-attention pooling and token sparsity based vision transformers for chest X-ray interpretation

MRI-based brain stroke classification using a hybrid vision transformer–BiLSTM architecture