Trade-Off Analysis of Classical Machine Learning and Deep Learning Models for Robust Brain Tumor Detection: Benchmark Study
The study reveals meaningful trade-offs between model complexity, annotation requirements, and deployment feasibility-critical factors for selecting models in real-world medical imaging applications.
Authors
- Yujia Tian (ORCID: https://orcid.org/0000-0001-5774-5829)
Institutions
- Dartmouth College (US)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-08-26
- DOI
- https://doi.org/10.2196/76344
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.68