Deep learning for skin lesion segmentation

Top: skin images. Middle: Ground Truth. Bottom: Predictions.

Project Supervisor: Professor Jagath Rajapakse

Proposed a novel algorithm for the segmentation of skin lesions. Developed an image pre-processing pipeline, a modified deep learning architecture, and a post-processing method that gave state of the art results and showed an improvement of 7% compared to training the network without pre-processing, using the Keras library with a Tensorflow backend.

Joshua Peter Ebenezer
Joshua Peter Ebenezer
Senior Research Engineer at Samsung’s Mobile Processor Innovation Lab

My research interests include image and video quality assessment, natural video statistics, and deep learning.