View Proposal


Proposer
Christos Chrysoulas
Title
Improving the Quality of Skin Lesion Data
Goal
Description
Literature: discussing lack of open-source, diverse, and well-labelled skin lesion data available for training VLMs. Implementation: clean and label an open-source skin lesion dataset (e.g. HAM10000 or one of the ISIC Challenge datasets). This work will be closely supervised by Tess Watt (PhD Student)
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Christos Chrysoulas
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Science in Artificial Intelligence
Master of Science in Data Science
Master of Science in Software Engineering
Master of Science in Robotics with Industrial Application
Bachelor of Science in Statistical Data Science
BSc Data Sciences