Morphology-guided deep learning framework for segmentation of pancreas in computed tomography images

PURPOSE: Accurate segmentation of the pancreas using abdominal computed tomography (CT) scans is a prerequisite for a computer-aided diagnosis system to detect pathologies and perform quantitative assessment of pancreatic disorders. Manual outlining of the pancreas is tedious, time-consuming, and pr...

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Detalles Bibliográficos
Autores principales: Qureshi, Touseef Ahmad, Lynch, Cody, Azab, Linda, Xie, Yibin, Gaddam, Srinavas, Pandol, Stepehen Jacob, Li, Debiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Image Processing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978260/
https://www.ncbi.nlm.nih.gov/pubmed/35392247
http://dx.doi.org/10.1117/1.JMI.9.2.024002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978260/
https://www.ncbi.nlm.nih.gov/pubmed/35392247
http://dx.doi.org/10.1117/1.JMI.9.2.024002

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