A Hybrid CNN-TransXNet Approach for Advanced Glomerular Segmentation in Renal Histology Imaging

Abstract In the specialized field of renal histology, precise segmentation of glomeruli in microscopic images is crucial for accurate clinical diagnosis and pathological analysis. Facing the challenge of discerning complex visual features, such as shape, texture, and size within these images, we int...

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Detalhes bibliográficos

Autor principal:	Yangtao Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2024-05-01
coleção:	International Journal of Computational Intelligence Systems
Assuntos:	Medical microscopic image segmentation Convolutional neural networks (CNNs) TransXNet block Residual connections Attention mechanism Glomerular segmentation
Acesso em linha:	https://doi.org/10.1007/s44196-024-00523-7
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