DL4DermaSegmentation – Deep Learning Models for Segmentation of Mobile-acquired Dermatological Images: A Comparative Study

Description:

The goal of this project is to perform a comparative study of state-of-the-art deep learning models for segmentation of mobile-acquired dermatological images. Particularly, the following application scenarios in dermatology involving handheld image acquisition will be explored:

1) Skin lesions (melanocytic and nonmelanocytic lesions);

2) Skin wounds (pressure ulcers, traumatic/surgical wounds and bruises).

 

Outcome:

Expand AICOS’ background knowledge in segmentation strategies based on deep learning, with expected direct impact in current and future Derma portfolio projects such as MpDS, MDevNet and DermAI.

 

Author: Catarina Andrade

Type: MSc thesis

Partner: FEUP – Faculdade de Engenharia da Universidade do Porto

Year: 2020