An Explainable Brain Tumor Detection Framework for MRI Analysis

• Published in: Applied sciences Vol. 13; no. 6; p. 3438
• Main Authors: Yan, Fei, Chen, Yunqing, Xia, Yiwen, Wang, Zhiliang, Xiao, Ruoxiu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Alzheimer's disease; Artificial intelligence; Brain cancer; Brain research; brain tumor detection; Brain tumors; Care and treatment; Classification; Computer architecture; Deep learning; Diabetic retinopathy; Diagnosis; explainable AI; Magnetic resonance imaging; Medical imaging; Medical imaging equipment; Medical personnel; MRI; Neural networks; Parameterization; Professional ethics; re-parameterization; Surgery; Tumors

Explainability in medical images analysis plays an important role in the accurate diagnosis and treatment of tumors, which can help medical professionals better understand the images analysis results based on deep models. This paper proposes an explainable brain tumor detection framework that can co...