Skin lesion segmentation project by Cansu Yalcin and Alejandro Cortina, for Computer Aided Diagnosis subject at University of Girona
Please refer to Cad1_Skin_lesion_presentation.pdf for the report of the work done, for the traditional (ML) approach.
Please refer to Cad2_Skin_lesion_presentation.pdf for the report of the work done, for the DL approach.
data_processed (224x224 images) https://drive.google.com/file/d/16RKww87heOtNH6AIYqfrB44HV9F1yAN8/view?usp=share_link
data_processed2 (512x512 images)
- Binary https://drive.google.com/file/d/1i9wD3fCrIN_tAqP_f4cOL8Z18Rwv6DRK/view?usp=share_link
- Three-class https://drive.google.com/file/d/1IPRnleZtHh3RZfUcgiAdMl20ne_fC1IQ/view?usp=share_link
Check notebook notebooks/deep_learning/inference_ensemble.ipynb
(Request weights directly to the authors of the repository)
To make an inference test, please refer to notebooks/pipeline_test.ipynb