Learning Melanocytic Cell Masks from Adjacent Stained Tissue

arXiv:2211.00646v4 Announce Type: replace-cross
Abstract: Melanoma is one of the most aggressive forms of skin cancer, causing a large proportion of skin cancer deaths. However, melanoma diagnoses by pathologists shows low interrater reliability. As melanoma is a cancer of the melanocyte, there is a clear need to develop a melanocytic cell segmentation tool that is agnostic to pathologist variability and automates pixel-level annotation. Gigapixel-level pathologist labeling, however, is impractical. Herein, we propose a means to train deep neural networks for …

abstract arxiv cancer clear cs.ai cs.cv cs.lg eess.iv forms however low masks melanoma q-bio.qm reliability segmentation shows skin cancer type