Graduation Project 1 – Pathology Image Classification Using AI
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AI-based pathology image classification using deep learning with a focus on Whole Slide Images.
Compared multiple feature extractors models (KimiaNet, CTransPath, MobileNetV2)
Date:
AI-based pathology image classification using deep learning with a focus on Whole Slide Images.
Compared multiple feature extractors models (KimiaNet, CTransPath, MobileNetV2)
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Designed a system to help students and faculty search and book available classrooms efficiently instead of manual searching
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Built and evaluated machine learning models to predict optimal moves in Connect Four.
Evaluated baseline models and advanced ensemble methods to optimize predictive accuracy.
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Studied ethical issues of using robots in healthcare, including privacy, safety, cost, unemployment, and patient consent.
Conducted surveys targeting healthcare providers and patients to understand their perspectives.