Skin_lesion_segmentation

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.

To download the datasets, please refer to these links

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

To run the final ensemble inference

DL

Check notebook notebooks/deep_learning/inference_ensemble.ipynb

(Request weights directly to the authors of the repository)

ML

To make an inference test, please refer to notebooks/pipeline_test.ipynb