A novel hybrid vision UNet architecture for brain tumor segmentation and classification

Abstract This paper focuses on designing and developing novel architectures termed Hybrid Vision UNet-Encoder Decoder (HVU-ED) segmenter and Hybrid Vision UNet-Encoder (HVU-E) classifier for brain tumor segmentation and classification, respectively. The proposed model integrates the powerful feature...

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Bibliographic Details
Main Authors: M. Renugadevi, K. Narasimhan, K. Ramkumar, N. Raju
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-09833-y
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