Leveraging Latents for Efficient Thermography Classification and Segmentation

arXiv:2404.06589v1 Announce Type: cross
Abstract: Breast cancer is a prominent health concern worldwide, currently being the secondmost common and second-deadliest type of cancer in women. While current breast cancer diagnosis mainly relies on mammography imaging, in recent years the use of thermography for breast cancer imaging has been garnering growing popularity. Thermographic imaging relies on infrared cameras to capture body-emitted heat distributions. While these heat signatures have proven useful for computer-vision systems for accurate breast cancer segmentation and classification, prior …

abstract arxiv cancer cancer diagnosis classification cs.cv cs.lg current diagnosis eess.iv health imaging mammography segmentation type women