SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer. (arXiv:2206.05763v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2206.05763

Clinically, the accurate annotation of lesions/tissues can significantly
facilitate the disease diagnosis. For example, the segmentation of optic
disc/cup (OD/OC) on fundus image would facilitate the glaucoma diagnosis, the
segmentation of skin lesions on dermoscopic images is helpful to the melanoma
diagnosis, etc. With the advancement of deep learning techniques, a wide range
of methods proved the lesions/tissues segmentation can also facilitate the
automated disease diagnosis models. However, existing methods are limited in
the sense that they can only capture …

arxiv cv diagnosis learning model segmentation transformer