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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Consistent Semi-Supervise" (30 stories)

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Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning
Lead StoryNatureworld
Jun 24

Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEbWt5YnFnSWlHQmdCb01NTlNvNm9RelpIU0EwM1BwRTlHcm5mSkVQRTJGUjA1YW1EMWJnQnJYbVZUU3BaS2dob3ZMOFhwR2xNMWF4MW41WGlqYmZXNGxJ?oc=5" target="_blank">Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Consistent Semi-Supervise"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Self-distillation double student network for semi-supervised medical image segmentation
Frontiersgeneral

Self-distillation double student network for semi-supervised medical image segmentation

<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxPZWI3R0tGWkF5cEVjbWhfdTA3azVuOG9STjNuTkQ0V252d1FXeVlSNFFzblRUTk5EZHRGTHNKUjVidjFOMzAtd1BhaUcxcWt2UXV0X2MxcVFwT0kxeWhHWUJiOFhPNkE3YVJaZEVKNHdoS1BKaWxQX0doZWIyTUJxdWNSSnBTYTlsc0w0MU9kUndLdw?oc=5" target="_blank">Self-distillation double student network for semi-supervised medical image segmentation</a>  <font color="#6f6f6f">Frontiers</font>

SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning
The Association for the Advancement of Artificial Intelligenceworld

SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE43aHBZZTVQTmNFYkpkN2xIWkhGSWZhWXQ4WmZubHQ0ZnBmV3FYZ25LWU9LYXdXSUlVRmxhWXBlNjRGclV3Q1ZIUWNjSmpzVDBxZ3drc3RfR1dfOVZyVVVHblFwQzU?oc=5" target="_blank">SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

PrefGAN-BERT: integrating direct preference optimization into semi-supervised GAN-BERT for robust text classification
Naturegeneral

PrefGAN-BERT: integrating direct preference optimization into semi-supervised GAN-BERT for robust text classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBwZUNBSnNjRkVwTmx2WTZhWk1xLUxwSXNMQUxLNHlWNngzdHNUUDd6Slp1aVdNQVFMWnZDYmFPajNCS1VxNXdFeS14emZOX2pBd2RBR09DQzU4SUF5NUpR?oc=5" target="_blank">PrefGAN-BERT: integrating direct preference optimization into semi-supervised GAN-BERT for robust text classification</a>  <font color="#6f6f6f">Nature</font>

SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation
The Association for the Advancement of Artificial Intelligencegeneral

SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9QdFg0RTN1RnJyX0JsMWlXV3hXZUFTRG0wOUw0RzlqSnN0ZkNPWlZzN0Q5QVYxNHphUEQ1LS05ZENXeDRYVlFtVUNSd21Mb1Y2LVZ2WFY5bkRuNkpPeDJfeDNqaVk?oc=5" target="_blank">SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract) | Proceedings of the AAAI Conference on Artificial Intelligence
The Association for the Advancement of Artificial Intelligencetech

Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract) | Proceedings of the AAAI Conference on Artificial Intelligence

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1pLTZYOHBiREQyeTFKbndienN3c1JXX2tOdzNlQmphaEhMbmczUlNyYXpOWWhhSW1uLVlHeGNXTV8tSjdmSzhYOG82Y19LNTNQNUR6TGJNNGdfSU83VTg1MUVuamw?oc=5" target="_blank">Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract) | Proceedings of the AAAI Conference on Artificial Intelligence</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology
Naturegeneral

Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqRGF5MGpjaUxnYmFoSlhWbFFoVmJPSGoxd0U4Y2d5QkowYzhWbnBodzlfSEx5VXlaV3NvX1d4a1E1SFZPaWw0ZV9qaVhlVGplVEF2aUhKMG53UDJSbXRF?oc=5" target="_blank">Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology</a>  <font color="#6f6f6f">Nature</font>

Multi-view semi-supervised attention network for 3D cardiac image segmentation
Frontiersgeneral

Multi-view semi-supervised attention network for 3D cardiac image segmentation

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxQNkJLcy15YUVJS1o1aGtHS3BTaEFfa2h0cTBaaTdjVnNoMEs1dlo2OXFJd0lZbEIzYUprUU5aSjQtZkN4UzRFTlZsUk16azJPR1hxRmVFQVo1MVNCU2stekpvemloeWdxSmxGM1kzajZvUlBGcWNEWTVMMUFCOTJRQXFocHdBa0xCandRSEx0dGFHME83ODRMOUoxcHNCYnh6MEE?oc=5" target="_blank">Multi-view semi-supervised attention network for 3D cardiac image segmentation</a>  <font color="#6f6f6f">Frontiers</font>

Enhancing breast magnetic resonance imaging segmentation with a federated semi-supervised approach
Naturemarkets

Enhancing breast magnetic resonance imaging segmentation with a federated semi-supervised approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9yMHJaMEtvOERzMlo3NWdJMWJycmthRlVuMDhBVTFmSGNMdU93ekMtQzBIcmh1S2E3Y1dKQ2pUaS1FdFFZUHJWWDdKdzdYZl8xRWdaNU81Rlc3V2dmYlp3?oc=5" target="_blank">Enhancing breast magnetic resonance imaging segmentation with a federated semi-supervised approach</a>  <font color="#6f6f6f">Nature</font>

Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss
Naturetech

Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAzRFFSdFlGdy1helVKOHRXU3o5NHZsVzgtN0liM2lGMjR5cE5aT2tpYlVsZXZHQ0F5anZHZVQwTVBNMS1jWXhqVFhRU0YwM1hOVmpOOEt3V1lZZTA0U3c4?oc=5" target="_blank">Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss</a>  <font color="#6f6f6f">Nature</font>

Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
The Association for the Advancement of Artificial Intelligencegeneral

Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE41SjBha2kzcXhiMTh0LThkazh5VjltMWNTVzM0YmtUdDZCTGJGMkw5NU92NGFTOXhkVFRRaDNCVzdmaW9pcTNnTHoydEpMWnNMUld1QmYxNy02QUlCcnhabWhsR1c?oc=5" target="_blank">Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation
The Association for the Advancement of Artificial Intelligencegeneral

ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBHb3BpX3RSRGdKU05UQm1EdDFYMHpaMUVzRTY1RnRqNGtNYWx3UUtDYjlYZjd1d3RTd1d6dHQtRTk4TEF2U08xMHpCdFl1a09YOTNwYmdvOXFkVFRYLVZ6QWRhNTM?oc=5" target="_blank">ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Semi-supervised medical image segmentation of bladder tumors based on supervised branches and uncertainty estimation
Naturetech

Semi-supervised medical image segmentation of bladder tumors based on supervised branches and uncertainty estimation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5UejBiQVAtbFR2MG5tSHZUNEw4MG9veDhLenhtUGZnNjM4Vk5GNWM3S3FIZHZxQnpDQXNxT1p2LVFYMlZhZzRoZTR4aXJqRkpVRjdhSzhaVUlVcDM1M3BV?oc=5" target="_blank">Semi-supervised medical image segmentation of bladder tumors based on supervised branches and uncertainty estimation</a>  <font color="#6f6f6f">Nature</font>

Semi-supervised Medical Image Segmentation through Dual-task Consistency
The Association for the Advancement of Artificial Intelligencegeneral

Semi-supervised Medical Image Segmentation through Dual-task Consistency

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE96Mml4MjhMLTZvQXNWdDF3cEpKSDdKQWxaNnBEQXFMdFA1UkhuYmljN29KN01WVUNGWFF3ZW9kUXJORUJXTEJnZmJnZGlkOEVOWHQteDdIQmhkcUU2TnR5dFlCVko?oc=5" target="_blank">Semi-supervised Medical Image Segmentation through Dual-task Consistency</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning
Naturegeneral

Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4tcDZlU2NWVjBScW9GeHpQelp5R3dzYmR6V1A3ejBtam0ydWZRNnlOUGlwSnJnZHhoU3hUaDZtLUVOV0F5NUdEYmw3Z1F1Tjg5d0RVWWZ0VHZPaVBhWHcw?oc=5" target="_blank">Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning</a>  <font color="#6f6f6f">Nature</font>

LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
The Association for the Advancement of Artificial Intelligencegeneral

LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBJU1pEM00zamlmX0JVTVp1eWFhZm5XZGVMZ2Y1cDhodlJnT0FLVjVFSGprcXo5alRJUHNMNkN2b3dRSVdkc3F1N2ZpVmpqSWpzX0lwQ181VXZYVzJudUphd2VIMlU?oc=5" target="_blank">LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Foundation model-guided multi-view semi-supervised CT segmentation of liver tumors in resource-constrained settings
Naturetech

Foundation model-guided multi-view semi-supervised CT segmentation of liver tumors in resource-constrained settings

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5uSzBpdXo4VWVlcG1BRDZHZ25xWnNhR3VWZ1AtNFF5M2dBYzVGMW8tTjIzSm8yZ1J4cG9ZN0p1YzZ5STdRel8weTZZUmxYZ1RKU05FNGV5T2hSdTlMSEF3?oc=5" target="_blank">Foundation model-guided multi-view semi-supervised CT segmentation of liver tumors in resource-constrained settings</a>  <font color="#6f6f6f">Nature</font>

Multi-perspective dynamic consistency learning for semi-supervised medical image segmentation
Naturegeneral

Multi-perspective dynamic consistency learning for semi-supervised medical image segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5iNGM3aGpkR0g1WUhac1ZhSmVjSWh6cFM1QzlLZDdBSVdwLU5SeVVObmt3a29nY1hfSkVzdGRkUnVaaHFteEdrSDBtbUk1Wkp2UldaTTZpRUFTU1RVcURR?oc=5" target="_blank">Multi-perspective dynamic consistency learning for semi-supervised medical image segmentation</a>  <font color="#6f6f6f">Nature</font>

An intra- and inter-class context and consistency network for supervised and semi-supervised blastocyst segmentation
Naturegeneral

An intra- and inter-class context and consistency network for supervised and semi-supervised blastocyst segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBlTjZCaE5BbUc0aWVWN1gybUhLNTVEMGJ3Z2VFbjdHZ3ZiYVZncmk5UlJ5NmdHaU9HSDdvYVZsTklKTk1PZ2tCUElpSWRiSkM4R0t6b0FQQTFiVWRZaGs4?oc=5" target="_blank">An intra- and inter-class context and consistency network for supervised and semi-supervised blastocyst segmentation</a>  <font color="#6f6f6f">Nature</font>

Semi-supervised action recognition using logit aligned consistency and adaptive negative learning
Naturegeneral

Semi-supervised action recognition using logit aligned consistency and adaptive negative learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SdkJ2azUzTDl3WjdCemtLeTlMcGp5cmp1VktfeEtHS0FRcWc3OXBSS0lDMmFMdFJyeGpLQ2ZnWEY1a3o3VHJSVmZmVDROYUFLcXpUbFNHcVNFNzQ5UWYw?oc=5" target="_blank">Semi-supervised action recognition using logit aligned consistency and adaptive negative learning</a>  <font color="#6f6f6f">Nature</font>

Consistent Semi-Supervised, Explainable Multi-Tasking for Medical Imaging
Towards Data Sciencetech

Consistent Semi-Supervised, Explainable Multi-Tasking for Medical Imaging

<a href="https://news.google.com/rss/articles/CBMiuAFBVV95cUxQdlRYMGFTM1FWNEJraEpNZXhnZnMyV3VpTnJ1RlMxUUNxSGxydzUyTFpwNVN5NWhGdGNwVi1aeG5IQkhMNE1yeTBBaExfNUQ3ckx5eXBpTWtYR2Q2eUlqTzlHTl9Vc09DM25XN3BsZlotc0pEOEl0NFEzMU11WEQ3dXdEZzlCc0YybjVrM0JZVGVpMTMyaWlkMkNnc0RHSlR3NW1uUVJZY1hYQVZ1Q1ZIWXpEOFgzOHJf?oc=5" target="_blank">Consistent Semi-Supervised, Explainable Multi-Tasking for Medical Imaging</a>  <font color="#6f6f6f">Towards Data Science</font>

Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation
Naturetech

Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9GMXpRQTR2aGdXM3ZSMThFeG9CVW9pOXJoLUtIOGxLRlltZWRBU2tqY3ZHY1pHNGRDVGZDclgzbm4yWGFkR1lncUl0N2x0OXMtM3NzeXZhYTFWM3oxNUtv?oc=5" target="_blank">Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation</a>  <font color="#6f6f6f">Nature</font>

Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis
Naturegeneral

Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBtQ29LM09rUWc0Nm15dC05VHBqbUFuV010clJBcjZJUmU4Q0h2VUdmbG1uQWFhRGUxNzBhN09kREtCUWM5YzNWWDlpMFFvNGlqUnNZN0xNZklDMWpEb04w?oc=5" target="_blank">Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis</a>  <font color="#6f6f6f">Nature</font>

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection | Scientific Reports
Natureworld

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9qcEtlN2VlSk5RTW01dVptSnhhWUhGeXlMNnQwTXk3WkNWbmJKeDREVGlDejdGWmdGUmo0dXQyRGZkVWU0RE80MFM4eVhfRm5zTXR0YWFSM0twaEVGcEhV?oc=5" target="_blank">Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment
Naturegeneral

A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0zZVV6SXFGd0VTb1Z5NHZmb3FCWldHTUJOUGhsRmtpUG5hNkkxSExYZlV2Nm1EcFhZV2JzVWxUSDNEZkpuMkhUYTdnZU56Z2hnQTc1Qy1CajB4aVNqbmRz?oc=5" target="_blank">A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment</a>  <font color="#6f6f6f">Nature</font>

Semi-Supervised Online Cross-Modal Hashing
The Association for the Advancement of Artificial Intelligencegeneral

Semi-Supervised Online Cross-Modal Hashing

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE4xOUJMTlRvYmFscDRLZElZMGVEVHZBbXVRNHAxeHRWWUtkT1FhaTNTcDlEQjE1STBEMzRDVHppSTVLbVEzdFFzN3BzRUxtdVByVWhkdHZLUGVfeW82TmJNZHVsVXE?oc=5" target="_blank">Semi-Supervised Online Cross-Modal Hashing</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

SegMatch: semi-supervised surgical instrument segmentation
Naturegeneral

SegMatch: semi-supervised surgical instrument segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03RjkwamdpTVRhSDNvSVE1czFBSkNMVV9xQnNFbFp6UUxCY3NoakU2Mm1WaGlOSF9JOW5IVkh1SVJYVUNYRmlBbU4xVE4wdWVHMUtmSjZDaDdJUmxRUGNB?oc=5" target="_blank">SegMatch: semi-supervised surgical instrument segmentation</a>  <font color="#6f6f6f">Nature</font>

Dual contextual learning for semi-supervised medical image classification
Frontiersgeneral

Dual contextual learning for semi-supervised medical image classification

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxPeW4zdUM3WHlwMzh6NW1aQzJwQkRWMk9BSTFwMFVFREpLelUtM3NtQmtCMUlIaUVjVEprR19QTlZmRExEWjJDOGJvVE9HeUVxOXFwenYyVVprWUhHMFdCUmRSVXdxa1p3dlhRc2oydGM1SGhaRnI3NkU5SHBhNzlQTTVfcGc0Q2I0Q1hCV3lB?oc=5" target="_blank">Dual contextual learning for semi-supervised medical image classification</a>  <font color="#6f6f6f">Frontiers</font>

Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation
Naturetech

Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9TaU85X3FqSVo5NFRyRUFDWXo2TzV3bkYxcTVISWE1MjlUd3g0dUZQN3kzamhMaUxnVHh1RjBFdkhDdjNWYk1CS05FZVdmRUpzaHFyUzA2MVlHak5vUS1F?oc=5" target="_blank">Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation</a>  <font color="#6f6f6f">Nature</font>

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
The Association for the Advancement of Artificial Intelligencegeneral

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFAzM2liR3FrSk0wVDU4VTNWTTRmWTU0aDdtTFhaR2RYSW9TSV9sb20wOWhqVFBRMXZHSzhxVjBfWUphdUtGQmk5U3Q1bHVNT2pxQlFKcElLQW5aTkJ2eC16Q0JjS3g?oc=5" target="_blank">RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

"Consistent Semi-Supervise" — Live Google News Trends & Headlines