PolicySegNet: a policy-based reinforcement learning framework with pretrained embeddings and transformer decoder for joint brain tumors segmentation and classification in MRI
Abstract PolicySegNet is a novel hybrid deep learning architecture developed for joint brain tumor segmentation and classification using MRI scans. It combines a pretrained SegFormer-B4 encoder (with a MiT backbone, originally trained on the ADE20K dataset) as a fixed feature extractor with a UNet-i...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
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| Series: | The Egyptian Journal of Radiology and Nuclear Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43055-025-01557-3 |
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