ISIC2016_challenge

ISIC2016challenge

Motivation

These are just my trial in ISIC 2016 to surpass the top of the table.

Using Focalloss, the accuracy is higher than top of the table (2016). NTSNet is effective to this task.

Name	Name	Last commit message	Last commit date
Latest commit KaoruMuta Update README.md Jun 12, 2019 40e5731 · Jun 12, 2019 History 93 Commits
NTSNet	NTSNet	add pretrainedmodels	Jan 10, 2019
results	results	Results	Jan 10, 2019
.DS_Store	.DS_Store	NTS-Net	Jan 9, 2019
CAM.jpg	CAM.jpg	test	Jan 16, 2019
README.md	README.md	Update README.md	Jun 12, 2019
clustering.py	clustering.py	backprop	Jan 18, 2019
cutout.py	cutout.py	first commit	Jan 8, 2019
focalloss.py	focalloss.py	delete alpha	Jan 8, 2019
pytorch_CAM.py	pytorch_CAM.py	apply cam	Jan 16, 2019
train_ISIC2016.py	train_ISIC2016.py	backprop	Jan 18, 2019