Empowering Brain Tumor Diagnosis through Explainable Deep Learning
Brain tumors are among the most lethal diseases, and early detection is crucial for improving patient outcomes. Currently, magnetic resonance imaging (MRI) is the most effective method for early brain tumor detection due to its superior imaging quality for soft tissues. However, manual analysis of b...
Saved in:
| Main Authors: | Zhengkun Li, Omar Dib |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/6/4/111 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An eXplainable deep learning model for multi-modal MRI grading of IDH-mutant astrocytomas
by: Hamail Ayaz, et al.
Published: (2024-12-01) -
Utilizing customized CNN for brain tumor prediction with explainable AI
by: Md Imran Nazir, et al.
Published: (2024-10-01) -
Improving Tuberculosis Diagnosis using Explainable Artificial Intelligence in Medical Imaging
by: Cem Özkurt
Published: (2024-05-01) -
EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification
by: Zeshan Aslam Khan, et al.
Published: (2024-12-01) -
Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation
by: Dian Nova Kusuma Hardani, et al.
Published: (2024-12-01)