Real-Time Detection of Meningiomas by Image Segmentation: A Very Deep Transfer Learning Convolutional Neural Network Approach
The good outcomes demonstrate the possibility of our suggested method as a useful diagnostic tool, promoting better understanding, a prognostic tool for clinical outcomes, and an efficient brain tumor treatment planning tool. It was demonstrated that several performance metrics we computed using the confusion matrix of the previously used model were very good. Consequently, we think that the approach we have suggested is an important way to identify brain tumors.
Authors
- Biswadeep Das (ORCID: https://orcid.org/0000-0002-3222-2527)
- Chayna Sarkar
- Debasmita Das (ORCID: https://orcid.org/0000-0001-6997-5226)
Institutions
- North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences (IN)
- All India Institute of Medical Sciences Rishikesh (IN)
- Vellore Institute of Technology University (IN)
Publication Details
- Journal
- Tomography
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3390/tomography11050050
- Citations
- 2
- Primary Topic
- Meningioma and schwannoma management
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- VIT University