Using AI-Driven Image Analysis Techniques to Decode Patterns in Cellular Morphology for Improved Cancer Diagnosis and Prognosis
Year: 2024
Type: conference-paper
Abstract: AI-driven image analysis techniques provide a powerful tool for decoding patterns in cellular morphology, significantly improving cancer diagnosis and prognosis. This study explores the application of machine learning models to analyze histopathological images, identifying key morphological features associated with cancer progression. Results highlight advancements in diagnostic accuracy and predictive capabilities, supporting personalized medicine approaches.
Author: Al-Qarni, Areej
Institution: King Abdullah University of Science and Technology
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6967756725
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