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Automatic multi-organ segmentation in computed tomography images using hierarchical convolutional neural network
Purpose: Accurate segmentation of treatment planning computed tomography (CT) images is important for radiation therapy (RT) planning. However, low soft tissue contrast in CT makes the segmentation task challenging. We propose a two-step hierarchical convolutional neural network (CNN) segmentation s...
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7554423/ https://ncbi.nlm.nih.gov/pubmed/33102622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.5.055001 |
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