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Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images
OBJECTIVE: Measurement of the liver and spleen volumes has clinical implications. Although computed tomography (CT) volumetry is considered to be the most reliable noninvasive method for liver and spleen volume measurement, it has limited application in clinical practice due to its time-consuming se...
Autores principales: | Ahn, Yura, Yoon, Jee Seok, Lee, Seung Soo, Suk, Heung-Il, Son, Jung Hee, Sung, Yu Sub, Lee, Yedaun, Kang, Bo-Kyeong, Kim, Ho Sung |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Radiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369202/ https://www.ncbi.nlm.nih.gov/pubmed/32677383 http://dx.doi.org/10.3348/kjr.2020.0237 |
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