Weight Pruning-UNet: Weight Pruning UNet with Depth-wise Separable Convolutions for Semantic Segmentation of Kidney Tumors

BACKGROUND: Accurate semantic segmentation of kidney tumors in computed tomography (CT) images is difficult because tumors feature varied forms and occasionally, look alike. The KiTs19 challenge sets the groundwork for future advances in kidney tumor segmentation. METHODS: We present weight pruning...

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Detalles Bibliográficos
Autores principales: Rao, Patike Kiran, Chatterjee, Subarna, Sharma, Sreedhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215835/
https://www.ncbi.nlm.nih.gov/pubmed/35755976
http://dx.doi.org/10.4103/jmss.jmss_108_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215835/
https://www.ncbi.nlm.nih.gov/pubmed/35755976
http://dx.doi.org/10.4103/jmss.jmss_108_21

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