Explainability of deep neural networks for MRI analysis of brain tumors.

Ramy A Zeineldin Mohamed Esmail Karar Ziad Elshaer Jan Coburger Christian Rainer Wirtz Oliver Burgert Franziska Mathis-Ullrich

Published in: International journal of computer assisted radiology and surgery (2022)

Due to its open architecture, ease of implementation, and scalability to new XAI methods, NeuroXAI could be utilized to assist radiologists and medical professionals in the detection and diagnosis of brain tumors in the clinical routine of cancer patients. The code of NeuroXAI is publicly accessible at https://github.com/razeineldin/NeuroXAI .

Keyphrases

neural network
healthcare
primary care
magnetic resonance imaging
minimally invasive
contrast enhanced
artificial intelligence
loop mediated isothermal amplification
clinical practice
quality improvement
label free
diffusion weighted imaging
sensitive detection