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Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks
Accurate segmentation of specific organ from computed tomography (CT) scans is a basic and crucial task for accurate diagnosis and treatment. To avoid time-consuming manual optimization and to help physicians distinguish diseases, an automatic organ segmentation framework is presented. The framework...
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| Published in: | J Digit Imaging |
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| Main Authors: | , , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer International Publishing
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6148807/ https://ncbi.nlm.nih.gov/pubmed/29679242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0052-4 |
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