Zobrazeno 1 - 7
of 7
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
Autor:
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbo
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. T