Potential Role of Generative Adversarial Networks in Enhancing Brain Tumors.

Journal: JCO clinical cancer informatics

Published Date: Jul 1, 2024

Abstract

PURPOSE: Contrast enhancement is necessary for visualizing, diagnosing, and treating brain tumors. Through this study, we aimed to examine the potential role of general adversarial neural networks in generating artificial intelligence-based enhancement of tumors using a lightweight model.

Authors

Amr Muhammed

Clinical Oncology Department, Sohag University Hospital, Sohag, Egypt.
Rafaat A Bakheet

Clinical Oncology Department, Sohag University Hospital, Sohag, Egypt.
Karam Kenawy

Neurosurgery Department, Sohag University Hospital, Sohag, Egypt.
Ahmed M A Ahmed

Clinical Oncology Department, Sohag University Hospital, Sohag, Egypt.
Muhammed Abdelhamid

Neurology Department, Sohag General Hospital, Sohag, Egypt.
Walaa Gamal Soliman

Clinical Oncology Department, Sohag University Hospital, Sohag, Egypt.

Keywords

Adult Aged Algorithms Artificial Intelligence Brain Neoplasms Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (39028919)

Potential Role of Generative Adversarial Networks in Enhancing Brain Tumors.

Abstract

Authors

Keywords

External Resources

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