Multi-scale based Network and Adaptive EfficientnetB7 with ASPP: Analysis of Novel Brain Tumor Segmentation and Classification
The integration of advanced segmentation, adaptive feature extraction, and optimal parameter tuning enhances the reliability and accuracy of the model. This framework provides a more effective and trustworthy solution for the early detection and clinical assessment of brain tumors, leading to improved patient outcomes through timely intervention.
Authors
- Sanjeev R. Kulkarni (ORCID: https://orcid.org/0000-0002-5308-5250)
- S. Poornapushpakala (ORCID: https://orcid.org/0000-0002-1859-3751)
Institutions
- International Institute of Information Technology (IN)
- Sathyabama Institute of Science and Technology (IN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-09-18
- DOI
- https://doi.org/10.2174/0115734056419990250904093436
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84