Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Heeseol Park"'
Autor:
Kyunghan Ro, Joo Young Kim, Heeseol Park, Baek Hwan Cho, In Young Kim, Seung Bo Shim, In Young Choi, Jae Chul Yoo
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Occupation ratio and fatty infiltration are important parameters for evaluating patients with rotator cuff tears. We analyzed the occupation ratio using a deep-learning framework and studied the fatty infiltration of the supraspinatus muscle
Externí odkaz:
https://doaj.org/article/8d0e65adf73a4881bc05fac5c76e31db
Publikováno v:
Tumor Biology, Vol 40 (2018)
Synovial sarcoma is a rare disease with diverse progression characteristics. We developed a novel deep-learning-based prediction algorithm for survival rates of synovial sarcoma patients. The purpose of this study is to evaluate the performance of th
Externí odkaz:
https://doaj.org/article/140ca0482d6d4b439d33c75c2c9c89b4
Autor:
Heeseol Park, Kyunghan Ro, In Young Kim, Jae Chul Yoo, Joo Young Kim, Baek Hwan Cho, In Young Choi, Seung Bo Shim
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports
Scientific Reports
Occupation ratio and fatty infiltration are important parameters for evaluating patients with rotator cuff tears. We analyzed the occupation ratio using a deep-learning framework and studied the fatty infiltration of the supraspinatus muscle using an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0987bdefa829b75d22fa5c19cc981ac3
https://doi.org/10.1038/s41598-021-93026-w
https://doi.org/10.1038/s41598-021-93026-w