2 papers
cs.CV2024
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model
Kun Zhao, Jakub Prokop, Javier Montalt Tordera +1
Mammography is crucial for breast cancer surveillance and early diagnosis. However, analyzing mammography images is a demanding task for radiologists, who often review hundreds of…
cs.CV2024
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training
Guillermo Jimenez-Perez, Pedro Osorio, Josef Cersovsky +4
Diffusion models (DMs) have emerged as powerful foundation models for a variety of tasks, with a large focus in synthetic image generation. However, their requirement of large anno…