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Name: Olivier Van den Nest
Type: User
Name: Olivier Van den Nest
Type: User
There has been numeruous advancements towards utilizing deep networks, ANNs, AI, etc in tasks like detecting the skin disease, type of tumour, etc. However, it becomes difficult for the networks to learn the features since, most of the skin images are occluded by hair. Thus, there is a need for pre-processing of the skin images to remove these obstructing hair. This sample project aims to remove the hair noise from the skin image with the help of Morphological filtering.
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
project programmeren 2017
Poker engine for poker AI development in Python
Codebase for StopSunburn Kaggle team
ISIC 2017 Skin Challenge - Part 2 - Detect Dermoscopic Criteria
unet for image segmentation
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