Breast Cancer

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Overview

The field studies how to detect breast cancer, estimate future risk, classify tumors, and predict treatment response or recurrence. Common approaches include deep learning on mammograms, MRI, and pathology slides; longitudinal alignment of screening images; and models that combine imaging with clinical records or molecular data. Methods are tested on settings such as EMBED and CSAW-CC mammograms, TCGA-BRCA pathology data, and multi-cohort MRI studies, with external validation used to assess transfer across hospitals and populations. Strong results remain difficult to translate reliably: performance can shift across datasets and subgroups, and safety, calibration, interpretability, and prospective clinical benefit remain important tests.

Latest papers

CardsList

47 papers5 papers in the last four weeks, down 29% on the four weeks before. 0.0% of all new papers.

  1. 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

  2. Label-Space Mismatch Distorts Cross-Cohort Evaluation in Breast Cancer Molecular Subtyping

    Oct 18, 2026Suxing Liu, Byungwon Min, Zhijian Zheng +1Cancer Subtype ClassificationCross-Dataset Generalization

    Department of IT Engineering, Mokwon University, Daejeon 35349, Republic of Korea · School of Digital Media Technology, Jiangxi Arts & Ceramics Technology Institute, Jingdezhen 333001, China · University of Alabama, Tuscaloosa, AL 35487, USA +1

  3. Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories

    Oct 12, 2026Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin +5Breast CancerMammography

    Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, 9037, Norway · SPKI The Norwegian Centre for Clinical Artificial Intelligence, University Hospital of North Norway, Tromsø, 9019, Norway · Norwegian Computing Center, Oslo, 0373, Norway +1

  4. Hybrid Cross-Modal Attention Network for Early Breast Cancer Detection in Low-Resource Clinical Settings

    Oct 5, 2026Simon Hadush Nrea, Filimon Gidey Gebremichael, Gebrekirstos Hagos Gebrekirstos +1Breast CancerMedical Image Classification

    Mekelle University, Mekelle, Ethiopia · Clinical Oncologist London School of Hygiene and Tropical Medicine London, UK

  5. Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies

    Oct 2, 2026Jungkyu Park, Dhruva Biswas, Joseph Cappadona +22Clinical Outcome PredictionComputational Pathology

    Ataraxis AI, New York, NY, USA. · Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA. · Harvard Medical School, Boston, MA, USA. +13

  6. An integrated geometric quantification and shape analysis framework for axillary lymph node metastasis in breast cancer patients

    Sep 28, 2026Zixi Yi, Limeng Qu, Gary P. T. ChoiBreast CancerStatistical Shape Modeling

    School of Mathematics and Statistics, Central South University, Changsha, Hunan, China · Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China · Clinical Research Center for Breast Disease in Hunan Province, Changsha, Hunan, China +1

  7. Foundation model embeddings capture pre-diagnostic changes on screening mammograms

    Sep 22, 2026Kalina P. Slavkova, Eric Brattain, Aditya Gowd +6Breast CancerMedical Imaging Foundation Models

    HOPPR, Chicago, IL, USA · University of Utah School of Medicine, Salt Lake City, UT, USA · 4DMedical, Woodland Hills, CA, USA +1

  8. Architecture-aware Robustness Evaluation of Explainable Deep Learning for Breast Cancer Diagnosis

    Sep 18, 2026Balenthira Thanusanth, Selvarajah Thuseethan, Roshan G. Ragel +3Explainable Medical Image AnalysisExplainability Evaluation

    University of Peradeniya, Sri Lanka · Charles Darwin University, Australia · Aneurin Bevan University Health Board, United Kingdom

  9. FCA-Guided Counterfactual Explanations for Multi-Modal Breast Cancer Diagnosis: A Framework Achieving Perfect Validity with Emergent Sparsity

    Sep 17, 2026Abdullahi Isa, Souley Boukari, Muhammad AliyuBreast CancerCounterfactual Explanations

    Department of Computer Science, Faculty of Computing, Abubakar Tafawa Balewa University, Bauchi, Nigeria.

  10. Classification Based on Association Rules Algorithm for Breast Cancer

    Sep 16, 2026Ali Alsalama, Ahmed Kubba, Ghaith Jamjoum +1ClassificationBreast Cancer

    Department of Computer Science University of Sharjah Sharjah, UAE

  11. 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

  12. Causal multi-modal AI for personalized chemosensitivity prediction

    Sep 11, 2026Dhruva Biswas, Jeroen Berrevoets, Alec McClean +31Cancer Drug Response PredictionClinical Prediction

    Ataraxis AI, New York, NY, USA. · Centre for Inflammation Biology and Cancer Immunology, King’s College London, London, UK. · Department of Medical Oncology, Guy’s Hospital, London, UK. +20

  13. TRUST: Threshold-Recalibrated Uncertainty-Safe Training for Certified Dismissal in Breast Cancer Screening

    Aug 31, 2026Parham Hajishafiezahramini, Matthew Hamilton, Edward Kendall +2Breast CancerSelective Prediction

    Department of Computer Science, Memorial University of Newfoundland, Canada · 2Division of Biomedical Sciences, Faculty of Medicine, Memorial University of2026 Newfoundland, Canada · 3Cancer Care, Newfoundland and Labrador Health Services, St. John’s, NL, CanadaAug 31

  14. Development and Feasibility Evaluation of an Edge AI as Medical Device System for Breast Cancer Multidisciplinary Team Meetings

    Aug 22, 2026Aarzoo Dhiman, Farzana Haque, Iqtedar Muazzam +3Breast CancerClinical Decision Support

    Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), Faculty of Science and Engineering, University of Hull, Hull, United Kingdom · Queen’s Centre for Oncology and Haematology, Hull University Teaching Hospitals NHS Foundation Trust, Castle Hill Hospital, Cottingham, United Kingdom · Department of Computer Science, Faculty of Science and Engineering, University of Hull, Hull, United Kingdom

  15. Pretreatment DCE-MRI Resolves Response Quality Within Pathologic Endpoints in Neoadjuvant Breast Cancer

    Aug 22, 2026Dattatreya Kantha, Murray H. LoewBreast CancerOncology

    Medical Imaging & Image Analysis Laboratory, Department of Biomedical Engineering, George Washington University, Science and Engineering Hall, 800 22nd St., NW, Suite 5000, Washington, DC 20052, USA

  16. Evaluating ADC-only deep learning pipelines for breast cancer detection and segmentation using standalone diffusion-weighted MRI

    Aug 18, 2026Pablo García Marcos, Paula Puerta Gonzĺez, Guillermo Lorenzo +4Breast CancerMedical Image Segmentation

    Computer Sciences Department, University of Oviedo, Asturias, Spain · Biomedical Engineering Center (BME), University of Oviedo, Asturias, Spain · Electrical Engineering Department, University of Oviedo, Asturias, Spain +6

  17. Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Temporal Deep Learning on DWI

    Aug 18, 2026Pablo García Marcos, Md. Tarequl Islam, Paula Puerta González +5Clinical Outcome PredictionBreast Cancer

    Computer Sciences Department and the Biomedical Engineering Center (BME), University of Oviedo, 33003 Asturias, Spain · Rabindra University, Sirajganj-6770, Bangladesh · Electrical Engineering Department and the Biomedical Engineering Center (BME), University of Oviedo, 33003 Asturias, Spain +4

  18. Energy and Performance Benchmarking of Deep Learning Models for Breast Cancer Detection

    Aug 7, 2026Samar Garrab, Ghada AchourBreast CancerEnergy-Efficient ML

    Royal Military College of Canada Kingston, ON, Canada · National Engineering School of Sousse Sousse, Tunisia

  19. Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

    Aug 7, 2026Fidel Omar Tito Cruz, Neda Ghafouri, Zengyan Wang +3Breast CancerLongitudinal Medical Image Analysis

    University of Central Florida, Orlando, FL, USA

  20. AI-guided deep visual proteomics reveals recurrence-associated morpho-molecular signatures within triple-negative breast cancers

    Aug 4, 2026Yesung Cho, Ji Hwan Park, Chan Il Kim +28Breast CancerComputational Pathology

    OmixAI Co. Ltd., Seoul, Republic of Korea · Meteor Biotech Co. Ltd., Seoul, Republic of Korea · Oncocross Co. Ltd., Seoul, Republic of Korea +4

  21. CorePath: A Breast-Specialized Pathology Foundation Model for Core Needle Biopsy Diagnosis and Risk-Controlled Report Generation

    Aug 4, 2026Ting Yin, Danning Li, Chen Shu +17Breast CancerMedical Report Generation

    Department of Pathology, West China Hospital, Sichuan University, Chengdu, China · Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu, China · The Hong Kong University of Science and Technology (Guangzhou) +7

  22. What Carries the Signal in Pathology Foundation-Model Atlases? A Patient-Level Controlled Benchmark in Breast Cancer

    Jul 31, 2026Chimdi Walter NdubuisiBreast CancerComputational Pathology

    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA

  23. Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

    Jul 21, 2026Ruth Amey, Muhammad Arifur Rahman, Taha Osman +4Breast CancerMultimodal Federated Learning

  24. An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction

    Jul 21, 2026Davide Chicco, Nicoletta BenvenutoBreast CancerClustering

    Dipartimento di Informatica Sistemistica e Comunicazione, Universit`a di Milano-Bicocca, Milan, Italy. · Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

  25. Longitudinal Multi-View Breast Cancer Risk Prediction

    Jul 13, 2026Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin +5Breast CancerLongitudinal Medical Image Analysis

    Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway · SPKI The Norwegian Centre for Clinical Artificial Intelligence, University Hospital of North Norway, Tromsø, Norway · Norwegian Computing Center, Oslo, Norway +1

  26. Pretreatment MRI reveals a latent, molecular-subtype-independent structural phenotype that organizes treatment trajectories and recurrence risk

    Jul 2, 2026Dattatreya Kantha, Murray H. LoewBreast CancerLongitudinal Medical Image Analysis

    Medical Imaging & Image Analysis Laboratory, Department of Biomedical Engineering, George Washington University, Science and Engineering Hall, 800 22nd St., NW, Suite 5000, Washington, DC 20052, USA

  27. 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

  28. Latent-CURE for Breast Cancer Diagnosis

    Jun 29, 2026Weiyi Zhao, Xiaoyu Tan, Lu Gan +2Breast CancerLong-Tail Learning

    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China · Tencent YouTu Lab, Shanghai 200232, China · Integrative Clinical Research Ward, Clinical Medicine Research Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China

  29. Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models

    Jun 24, 2026Ruiyu Jia, Yanqi Xu, Yuxuan Chen +2Breast CancerMedical Image Analysis

    Department of Mathematics, New York University Shanghai, China · Center for Data Science, New York University, USA · Perlmutter Cancer Center, NYU Langone Health, New York, USA +1

  30. HERO: Hypothesis-Driven Evidence Retrieval from Omics for Multi-Task Breast Cancer Analysis

    Jun 19, 2026Xiangyu Li, Ran SuBreast CancerClinical Outcome Prediction

    College of Intelligence and Computing, Tianjin University, Tianjin 300072, China