Lesion Analysis and Diagnosis with Mask-RCNN

Autor:	Sorokin, Andrey
Rok vydání:	2018
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Statistics - Machine Learning
Druh dokumentu:	Working Paper
Popis:	This project applies Mask R-CNN method to ISIC 2018 challenge tasks: lesion boundary segmentation (task1), lesion attributes detection (task 2), lesion diagnosis (task 3), a solution to the latter is using a trained model for task 1 and a simple voting procedure. Comment: 4 pages, 4 figures, ISIC 2018 challenge
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1807.05979 Zobrazit plný text záznamu View this record from Arxiv