GRU-ASPP U-Net: Enhanced Multiple Sclerosis Lesion Segmentation Through Temporal-Spatial Feature Integration in Longitudinal MRI

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Journal
Journal of Computational and Cognitive Engineering
Published
2025-01-16
DOI
https://doi.org/10.47852/bonviewjcce52024394
Primary Topic
Brain Tumor Detection and Classification
Type
article
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article

GRU-ASPP U-Net: Enhanced Multiple Sclerosis Lesion Segmentation Through Temporal-Spatial Feature Integration in Longitudinal MRI

Ramya Palaniappan, C. Siva Ram Murthy
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Journal of Computational and Cognitive Engineering
Brain Tumor Detection and Classification
article

GRU-ASPP U-Net: Enhanced Multiple Sclerosis Lesion Segmentation Through Temporal-Spatial Feature Integration in Longitudinal MRI

Ramya Palaniappan, C. Siva Ram Murthy
article en

Abstract

No abstract available for this paper.
Journal of Computational and Cognitive Engineering
SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 99%
Brain Tumor Detection and Classification
DOIOpen Access PDFOpenAlex
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GRU-ASPP U-Net: Enhanced Multiple Sclerosis Lesion Segmentation Through Temporal-Spatial Feature Integration in Longitudinal MRI — Ramya Palaniappan, C. Siva Ram Murthy · Journal of Computational and Cognitive Engineering (2025) | TGRS Research Map | TGRS