Mammography Image Classification

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25 papers4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. MammoSeek: A Mammography Agent with selective zooming for grounded reports

    Nov 4, 2026Haoyan Ding, Qian Wang, Lixia Wang +1MammographyMedical AI Agents

    University of California, Los Angeles, Los Angeles, CA, USA · Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA

  2. Evaluating Federated Vision-Language and Vision-Only Models for Privacy-Aware Breast Cancer Imaging

    Oct 26, 2026Malithi Mithsara Wanniarachchi Kankanamge, Ning Yang, Sree Bash Debnath +2Medical ImagingMammography Image Classification

    School of Computing, Southern Illinois University, 1230 Lincoln Drive, Carbondale, 62901, IL, USA. · Department of Radiation Oncology, Stritch School of Medicine, Loyola University, 1032 W. Sheridan Rd, Chicago, 60660, IL, USA. · Department of Radiology, University of Texas Southwestern Medical Center, Dallas, 75390, TX, USA.

  3. Explainable Multimodal AI Approach to Reduce Unnecessary Breast Biopsies

    Oct 26, 2026Sadam Hussain, Mansoor Ali, Daly Betzabeth Avendaño-Avalos +1Breast CancerRadiology VLMs

    School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico · School of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico

  4. A Computationally Efficient Non-Interpolation Virtual Trellis Approach for Mammogram Gradient-based Patterns Analysis

    Oct 25, 2026Shahid Rasheed, Muhammad Rashid, Seifedine Kadry +1Mammography Image Classification

    School of Information Technology, Deakin University, Australia · Department of Computer Science, University of Turin, Italy · Department of Applied Data Science, Noroff University College, Norway +1

  5. Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

    Oct 8, 2026Inês Cruchinho Garcia, Mariana Mourão, Francisco Maria Calisto +2Mammography Image ClassificationCounterfactual Data Augmentation

    Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal

  6. Image-Based Breast Implant Detection for Mammography Dataset Curation and Near-Real-Time Deployment: Comparing Foundation Models and Task-Specific Convolutional Models

    Oct 1, 2026Vasisht Ishwar, Hari Trivedi, Young Seok Jeon +5Medical Image ClassificationMammography Image Classification

    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA · University of Maryland, College Park, MD, USA

  7. M3D-Net: Hierarchical Coordination of Spatial Context, Feature Reuse, and Differential Attention for Mammography Classification

    Sep 23, 2026Zheng Yu, Xinhang Li, Jiabao Gao +2Multi-Scale Feature FusionMedical Image Classification

    Shenzhen Loop Area Institute, Shenzhen, China · The Chinese University of Hong Kong, Shenzhen, China · Shenzhen Research Institute of Big Data, Shenzhen, China

  8. A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification

    Sep 16, 2026Md Taimur Ahad, Ainuddin AhmedHybrid CNN-Transformer ArchitecturesMedical Image Classification

    Department of Management North South University, Dhaka, Bangladesh

  9. From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography

    Sep 13, 2026Ali Abbasian Ardakani, Afshin Mohammadi, Taha Yusuf Kuzan +11Medical VLMsMammography Image Classification

    Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, Krems an der Donau, Austria · Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran · Department of Radiology, Yeditepe University, Istanbul, Türkiye +10

  10. Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampling

    Sep 2, 2026Young Seok Jeon, Beatrice Brown-Mulry, Rohan Satya Isaac +5Radiology VLMsMedical Image Localization

    Department of Radiology, Emory University, Atlanta, GA, USA

  11. BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

    Aug 10, 2026Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +18Domain GeneralizationMedical Image Classification

    Northwestern University · University of Wisconsin-Madison · Istanbul University +7

  12. Modern Backbones Improve Multi-task DETR for Mammography Classification and Lesion Localization

    Aug 10, 2026Dinh Tan Nguyen, Quang-Hien Kha, Le-Hoang Nguyen +8Detection TransformerMulti-Task Learning

    University of Technology Sydney, Australia. · Saigon Precision Medicine Research Center, Vietnam. · College of Medicine, Taipei Medical University, Taiwan. +3

  13. Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis

    Jul 28, 2026Adarsh Bhandary Panambur, Siming Bayer, Andreas MaierMetric LearningMedical Image Classification

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Siemens Healthineers, Erlangen, Germany

  14. Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification

    Jul 17, 2026Zhengbo Zhou, Jiren Li, Dooman Arefan +2Radiology VLMsVision-Language Models

    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA · Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA · Department of Biomedical Informatics and Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA

  15. Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

    Jul 11, 2026Giang Nguyen, Raghav Mehta, Emma A. M. Stanley +4Medical Image ClassificationMedical Imaging Foundation Models

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · Imperial College London, London, UK · Radiology Department, Vietnam National Cancer Hospital, Hanoi, Vietnam +2

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

    Jul 7, 2026Xuan Liu, Derek L. Nguyen, Emily C. Barre +7Unsupervised Domain AdaptationMammography

    Department of Electrical and Computer Engineering and the Department of Radiology, Duke University, Durham, NC, USA · Department of Radiology, Duke University, Durham, NC, USA · Duke University School of Medicine, Durham, NC, USA +3

  17. AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography

    Jun 30, 2026Scott Chase Waggener, Sai Karthik Navuluru, Lakshman TamilBreast CancerJoint-Embedding Predictive Architecture

    Department of Electrical and Computer Engineering University of Texas at Dallas Richardson, TX

  18. MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis

    Jun 19, 2026Di Dai, Bo Liu, Youcheng Li +9MammographyCoT Reasoning

    State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University Beijing, China · School of Computer Science and Engineer, Beijing University of Aeronautics and Astronautics Beijing, China · Center for Data Science, Peking University Beijing, China +5

  19. MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification

    May 19, 2026Halil Ibrahim Gulluk, Olivier GevaertMedical ImagingMedical Image Classification

    Department of Electrical Engineering Stanford University Stanford, CA 94305 · Biomedical Informatics Research (BMIR) Stanford University Stanford, CA 94304

  20. Evaluating Federated Learning approaches for mammography under breast density heterogeneity

    May 9, 2026Gonzalo Iñaki Quintana, Franco Martin Di Maria, Laurence VancambergFederated Learning AggregationMedical Image Analysis

    GE HealthCare, 283 Rue de la Mini`ere, 78530 Buc, France · ENS Paris-Saclay, 4 Av. des Sciences, 91190 Gif-sur-Yvette, France · IMT Atlantique, 655 Av. du Technopˆole, 29280 Plouzan´e, France +1

  21. Attend what matters: Leveraging vision foundational models for breast cancer classification using mammograms

    Apr 21, 2026Samyak Sanghvi, Piyush Miglani, Sarvesh Shashikumar +3Medical ImagingVision Foundation Model Adaptation

    Department of Computer Science and Engineering, IIT Delhi, New Delhi, India · Yardi School of AI, IIT Delhi, New Delhi, India · Department of Radiodiagnosis, PGIMER Chandigarh, Chandigarh, India

  22. A Hybrid Architecture for Benign-Malignant Classification of Mammography ROIs

    Apr 14, 2026Mohammed Asad, Mohit Bajpai, Sudhir Singh +1Mammography Image ClassificationMedical Image Classification

    Dept. of Electronics and Communication Engineering, Delhi Technological University, Delhi, India · Dept. of Information Technology, IGDTUW, Delhi, India · Dept. of Computer Science and Engineering, Delhi Technological University, Delhi, India

  23. LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol

    Mar 15, 2026Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +9Mammography Image ClassificationMedical Image Harmonization

    Department of Radiology, Northwestern University, Chicago, IL, USA · Department of Radiation Oncology, University of Health Sciences Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Turkey · Department of Radiology, Istanbul University, Istanbul, Turkey

  24. MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

    Mar 10, 2026Nikola Jovišić, Milica Škipina, Nicola Dall'Asen +1Mammography Image ClassificationMedical Image Classification

    Institute for AI R&D of Serbia, Serbia · Faculty of Technical Sciences, University of Novi Sad, Serbia · University of Trento, Italy +2

  25. Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer Framework

    Mar 17, 2025Farnoush Bayatmakou, Reza Taleei, Milad Amir Toutounchian +1Mammography Image ClassificationMulti-View Feature Fusion

    Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada · Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA · College of Computing & Informatics, Drexel University, Philadelphia, Pennsylvania, USA