Lesion Analysis and Diagnosis with Mask-RCNN

2018/07/10 by А. П. Сорокин, Sorokin, Andrey
Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #COVID-19 diagnosis using AI #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (stat.ML) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1807.05979

openalex publication_date 2018/07/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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