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Reason: Under embargo until 6 June 2025. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library

Towards Better Skin Cancer Diagnosis: Modelling Diagnostic Strategies in Dermatology with Deep Learning

thesis
posted on 2024-06-06, 04:16 authored by ZHEN YU
This research combined the power of artificial intelligence (AI) with dermatology, aiming to detect skin cancer earlier and more accurately. Think of it as teaching computers to recognize harmful skin changes by analyzing patterns over time, understanding unique skin differences, and organizing vast amounts of skin data in a smarter way. Our work signifies a substantial step towards making skin cancer diagnosis more precise and reliable, potentially revolutionizing skin health management and saving many lives through early detection.

History

Principal supervisor

Lei Zhang

Additional supervisor 1

Zongyuan Ge

Year of Award

2024

Department, School or Centre

Central Clinical School

Campus location

Australia

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Medicine, Nursing and Health Sciences

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    Faculty of Medicine, Nursing and Health Sciences Theses

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