Hugging Face Trending Papers July 7, 2026

Unsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets

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Deep learning-based computer-aided diagnosis (CAD) systems have shown strong performance in breast cancer diagnosis, particularly for classification tasks in mammography. However, domain shifts across multi-site datasets remain a challenge, especially when models are applied to unseen domains.

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arXiv Machine Learning

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llms benchmarks

arXiv AI

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Externally Validated Breast Ultrasound Segmentation via Multi-task Learning with BI-RADS-Consistent Morphological Priors

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arXiv AI

Jul 14

Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

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By Giang Nguyen, Raghav Mehta, Emma A. M. Stanley, Tian Xia, Thi Hao Nguyen, Hieu Pham, Ben Glocker

llms multimodal benchmarks

arXiv Machine Learning

Jul 10

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

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arXiv Machine Learning

Jul 22

Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing

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By Mohammad Ali Dadrast, Hamid Usefi

safety

arXiv Machine Learning

Jul 14

BiLoG-Net: A Bi-Context Location-Guided Network for Breast Mass Segmentation and Malignancy Classification in Mammography

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By Abu Fatema Mohammad Abdun Noor, Md Imam Ahasan, Md Samiul Ahasan, Kah Ong Michael Goh, S M Hasan Mahmud, Raihana Zannat

llms computer-vision benchmarks

Related stories

BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

Externally Validated Breast Ultrasound Segmentation via Multi-task Learning with BI-RADS-Consistent Morphological Priors

Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

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BiLoG-Net: A Bi-Context Location-Guided Network for Breast Mass Segmentation and Malignancy Classification in Mammography