Mammography Image Classification

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20 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification
Oct 8, 2026Inês Cruchinho Garcia, Mariana Mourão, Francisco Maria Calisto +2Mammography Image Classification Counterfactual Data Augmentation
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal
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 Classification Mammography Image Classification
Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA · University of Maryland, College Park, MD, USA
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 Fusion Medical Image Classification
Shenzhen Loop Area Institute, Shenzhen, China · The Chinese University of Hong Kong, Shenzhen, China · Shenzhen Research Institute of Big Data, Shenzhen, China
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 Architectures Medical Image Classification
Department of Management North South University, Dhaka, Bangladesh
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 VLMs Mammography 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
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 VLMs Medical Image Localization
Department of Radiology, Emory University, Atlanta, GA, USA
BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
Aug 10, 2026Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +18Domain Generalization Medical Image Classification
Northwestern University · University of Wisconsin-Madison · Istanbul University +7
Modern Backbones Improve Multi-task DETR for Mammography Classification and Lesion Localization
Aug 10, 2026Dinh Tan Nguyen, Quang-Hien Kha, Le-Hoang Nguyen +8Detection Transformer Multi-Task Learning
University of Technology Sydney, Australia. · Saigon Precision Medicine Research Center, Vietnam. · College of Medicine, Taipei Medical University, Taiwan. +3
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 Learning Medical Image Classification
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Siemens Healthineers, Erlangen, Germany
Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification
Jul 17, 2026Zhengbo Zhou, Jiren Li, Dooman Arefan +2Radiology VLMs Vision-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
Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
Jul 11, 2026Giang Nguyen, Raghav Mehta, Emma A. M. Stanley +4Medical Image Classification Medical 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
Unsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets
Jul 7, 2026Xuan Liu, Derek L. Nguyen, Emily C. Barre +7Unsupervised Domain Adaptation Mammography
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
AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography
Jun 30, 2026Scott Chase Waggener, Sai Karthik Navuluru, Lakshman TamilBreast Cancer Joint-Embedding Predictive Architecture
Department of Electrical and Computer Engineering University of Texas at Dallas Richardson, TX
MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis
Jun 19, 2026Di Dai, Bo Liu, Youcheng Li +9Mammography CoT 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
MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification
May 19, 2026Halil Ibrahim Gulluk, Olivier GevaertMedical Imaging Medical Image Classification
Department of Electrical Engineering Stanford University Stanford, CA 94305 · Biomedical Informatics Research (BMIR) Stanford University Stanford, CA 94304
Evaluating Federated Learning approaches for mammography under breast density heterogeneity
May 9, 2026Gonzalo Iñaki Quintana, Franco Martin Di Maria, Laurence VancambergFederated Learning Aggregation Medical 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
Attend what matters: Leveraging vision foundational models for breast cancer classification using mammograms
Apr 21, 2026Samyak Sanghvi, Piyush Miglani, Sarvesh Shashikumar +3Medical Imaging Vision 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
A Hybrid Architecture for Benign-Malignant Classification of Mammography ROIs
Apr 14, 2026Mohammed Asad, Mohit Bajpai, Sudhir Singh +1Mammography Image Classification Medical 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
LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol
Mar 15, 2026Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +9Mammography Image Classification Medical 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
MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
Mar 10, 2026Nikola Jovišić, Milica Škipina, Nicola Dall'Asen +1Mammography Image Classification Medical Image Classification
Institute for AI R&D of Serbia, Serbia · Faculty of Technical Sciences, University of Novi Sad, Serbia · University of Trento, Italy +2

Oct 8, 2026J/K move · Enter open · S save

Healthy Counterfactual Generation via Diffusion Inpainting for Mammography Classification

Inês Cruchinho Garcia, Mariana Mourão, Francisco Maria Calisto, Carlos Santiago+1

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

Mammography Image Classification Counterfactual Data Augmentation Mammography Medical Image Classification Medical Image Synthesis

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False negatives remain a critical limitation of computer-aided diagnosis (CAD) systems for breast cancer screening due to delayed detection and treatment. To address this issue, we propose a counterfactual data augmentation strategy that generates healthy mammograms by "erasing" lesions from anomalous images, thereby enriching the training distribution. We train a Denoising Diffusion Probabilistic Model on BI-RADS 1 (healthy) mammograms and use a RePaint-based sampling strategy to inpaint realistic normal tissue within annotated lesion bounding boxes. The resulting healthy counterfactuals replace annotated lesion regions with realistic healthy tissue while preserving patient-specific anatomical structure, as supported by similarity metrics between real and generated images. Image realism was further assessed by radiologists and found to be consistent with the original dataset quality. We evaluate counterfactual augmentation across four representative classifier architectures: a convolutional neural network (ConvNeXt), a vision transformer (ViT), a vision-language model pre-trained on mammogram-report pairs (Mammo-CLIP) and a multi-scale attention-based multiple-instance learning framework (FPN-MIL). Experiments conducted on the VinDr-Mammo dataset show improvements in sensitivity across all architectures, particularly at 80% fixed specificity, contributing towards more reliable CAD systems for breast cancer. Code is available at: https://github.com/ines03garcia/diffusion-based-counterfactual-generation.