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pro vyhledávání: '"Masanobu Gido"'
A machine learning model to predict the histology of retroperitoneal lymph node dissection specimens
Autor:
Satoshi Nitta, Takahiro Kojima, Masanobu Gido, Shota Nakagawa, Hideki Kakeya, Shuya Kandori, Takashi Kawahara, Bryan J. Mathis, Koji Kawai, Hiromitsu Negoro, Hiroyuki Nishiyama
Background While post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) benefits patients with teratoma or viable germ cell tumors (GCT), it becomes overtreatment if necrosis is detected in PC-RPLND specimens. Serum microRNA-371a-3p corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3fdd8ffd137c9a1824c76409b3cd1da
https://doi.org/10.21203/rs.3.rs-2673928/v1
https://doi.org/10.21203/rs.3.rs-2673928/v1
