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pro vyhledávání: '"Sunhem, Wisuwat"'
Autor:
Quiros, Adalberto Claudio, Coudray, Nicolas, Yeaton, Anna, Sunhem, Wisuwat, Murray-Smith, Roderick, Tsirigos, Aristotelis, Yuan, Ke
Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological processes. So far, these approaches have focused on extracting informa
Externí odkaz:
http://arxiv.org/abs/2108.02223
Publikováno v:
In Expert Systems With Applications 15 April 2019 120:14-32
Autor:
Sunhem, Wisuwat
Histopathology is considered the most practical diagnostic method for patient with early stage cancer. This is because at the very first pre-screening, patient’s tissue samples are delivered to pathologist for examining evidence of cancer. Computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e3d6a7e48fe4c7be0076d6ef64f9b15
Autor:
Sunhem, Wisuwat, Pasupa, Kitsuchart
Publikováno v:
2016 Eighth International Conference on Advanced Computational Intelligence (ICACI); 2016, p390-394, 5p
Publikováno v:
2016 Fifth ICT International Student Project Conference (ICT-ISPC); 2016, p166-169, 4p