Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT

Segmentation is fundamental to medical image analysis. Recent advances in fully convolutional networks has enabled automatic segmentation; however, high labeling efforts and difficulty in acquiring sufficient and high-quality training data is still a challenge. In this study, a cascaded 3D U-Net wit...

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Detalles Bibliográficos
Autores principales: Kim, Taehun, Lee, Kyung Hwa, Ham, Sungwon, Park, Beomhee, Lee, Sangwook, Hong, Dayeong, Kim, Guk Bae, Kyung, Yoon Soo, Kim, Choung-Soo, Kim, Namkug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962335/
https://www.ncbi.nlm.nih.gov/pubmed/31941938
http://dx.doi.org/10.1038/s41598-019-57242-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962335/
https://www.ncbi.nlm.nih.gov/pubmed/31941938
http://dx.doi.org/10.1038/s41598-019-57242-9

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