3 papers
cs.CV2025
MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi +1
Large annotated datasets are essential for training robust Computer-Aided Diagnosis (CAD) models for breast cancer detection or risk prediction. However, acquiring such datasets wi…
cs.CV2025
Breast Cancer VLMs: Clinically Practical Vision-Language Train-Inference Models
Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi +1
Breast cancer remains the most commonly diagnosed malignancy among women in the developed world. Early detection through mammography screening plays a pivotal role in reducing mort…
cs.CV2025
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Sarah de Boer +26
Datasets play a critical role in medical imaging research, yet issues such as label quality, shortcuts, and metadata are often overlooked. This lack of attention may harm the gener…