Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images

Kidney tumors represent a significant medical challenge, characterized by their often-asymptomatic nature and the need for early detection to facilitate timely and effective intervention. Although neural networks have shown great promise in disease prediction, their computational demands have limite...

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Detalles Bibliográficos
Autores principales: Rao, P. Kiran, Chatterjee, Subarna, Janardhan, M., Nagaraju, K., Khan, Surbhi Bhatia, Almusharraf, Ahlam, Alharbe, Abdullah I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606269/
https://www.ncbi.nlm.nih.gov/pubmed/37892065
http://dx.doi.org/10.3390/diagnostics13203244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606269/
https://www.ncbi.nlm.nih.gov/pubmed/37892065
http://dx.doi.org/10.3390/diagnostics13203244

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