Melanoma

[henryliangt]

Melanoma imaging Kaggle

ACEMID 2000 objects, multiple opportunities with the 3D imaging and the proteomic data.

Pablo Fernandez-Peñas

https://www.isic-archive.com/#!/topWithHeader/onlyHeaderTop/gallery?filter=%5B%5D

Lei Bi

Joint Lei Bi & Jinman Kim

Pablo Fernandez-Peñas

Ali Azimi

https://github.com/topics/melanoma

https://github.com/search?q=melanoma+classifier

[henryliangt]

Transfer learning:

https://github.com/vbookshelf/Skin-Lesion-Analyzer

deployed, model json

使用预训练模型需要下载模型的文件，最关键的是三个文件： 第一个是配置文件，config.json 第二个是词典文件，vocab.json或vocab.txt 第三个是预训练模型文件，pytorch_model.bin或tf_model.h5。 根据你使用的框架

[henryliangt]

https://github.com/Tirth27/Skin-Cancer-Classification-using-Deep-Learning

[henryliangt]

https://github.com/fabioperez/skin-data-augmentation

pip install augly error

[henryliangt]

https://github.com/learningtitans/isbi2017-part3

need titan cards

[henryliangt]

https://github.com/soheil-mp/Skin-cancer-recoginition

[henryliangt]

https://github.com/zabir-nabil/lesion-segmentation-melanoma-tl

[henryliangt]

https://pytorch.org/vision/stable/models.html

https://github.com/dianwen-ng/ISIC-melanoma-segmentation

https://github.com/cygnus77/isic-2018