Eman Rezk

Teaching Assistant

McMaster University

Canada

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About

Eman Rezk is a Teaching Assistant at McMaster University in Canada. Their research focuses on the application of artificial intelligence in dermatology, particularly regarding skin cancer detection and management. Recent articles explore topics such as the accuracy of AI methods in skin cancer, machine learning predictions of climate-induced disaster injuries, and strategies to improve skin color diversity in cancer detection.

Articles (6)

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (2)

Mohamed Eltorki

McMaster University

CANADA

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Wael El-Dakhakhni

McMaster University

CANADA

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Eman Rezk

Research Interests

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Articles (6)

Human knowledge-based artificial intelligence methods for skin cancer management: Accuracy and interpretability study

Interpretable Skin Cancer Classification based on Incremental Domain Knowledge Learning

Machine learning prediction of climate-induced disaster injuries

A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges

Improving Skin Color Diversity in Cancer Detection: Deep Learning Approach

Leveraging Artificial Intelligence to Improve the Diversity of Dermatological Skin Color Pathology: Protocol for an Algorithm Development and Validation Study

Collaborators (2)

Mohamed Eltorki

Wael El-Dakhakhni

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