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pro vyhledávání: '"Maria Gloria Bueno"'
Akademický článek
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Autor:
L'Imperio, Vincenzo, Van Nguyen, Hien, Tos, Angelo Paolo Dei, Rossi, Mattia, Sbaraglia, Marta, Eccher, Albino, Pagni, Fabio, Becker, Jan Ulrich, Garcia, Maria Gloria Bueno, Girolami, Ilaria, Gambaro, Giovanni, Cazzaniga, Giorgio
The aim of this study is to provide an overview of the current and potential applications of artificial intelligence (AI) in nephropathology imaging. Specifically, we aim to review the current state of the art in AI techniques for analyzing histologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4fe31c7010dad595d9cf82dda3148c8
Autor:
Chunliang Wang, Chi-Hung Weng, Benjamin Chidester, Sihang Zhou, Gerald Schaefer, Debotosh Bhattacharjee, Xuhua Ren, Antanas Kascenas, Elad Arbel, Stefan Braunewell, Kailin Chen, Deepak Anand, Maria Gloria Bueno, Guanyu Cai, Peng Sun, Yanping Cui, Mostafa Jahanifar, Minh N. Do, Ali Gooya, Qian Wang, Linmin Pei, Minh-Triet Tran, Quoc Dang Vu, Valery Naranjo, Amir Ben-Dor, Adrián Colomer, Jin Tae Kwak, Alison O'Neil, Yanning Zhou, Ekaterina Sirazitdinova, Linlin Shen, Nasir M. Rajpoot, Baocai Yin, Ruchika Verma, Sabarinathan Devanathan, Dennis Eschweiler, Rupert Ecker, E. D. Tsougenis, Jian Ma, Raviteja Chunduri, Zihan Wu, Itay Remer, Kaushiki Roy, Amirreza Mahbod, Khan M. Iftekharuddin, Xinmei Tian, Neda Zamani Tajeddin, Isabella Ellinger, Corey Hu, Yuexiang Li, Jaegul Choo, Xiaojie Liu, Jun Ma, Dariush Lotfi, Erhardt Barth, Navid Alemi Koohbanani, Örjan Smedby, Simon Graham, Wei-Hsiang Yu, Omer Fahri Onder, Cheng-Kun Yang, Dinggang Shen, Yuqin Wang, Hao Chen, Pak-Hei Yeung, Xiaoyang Zhou, Reza Safdari, Pheng-Ann Heng, Shuang Yang, Zhiqiang Hu, Johannes Stegmaier, Amit Sethi, Akshaykumar Gunda, Chao-Yuan Yeh, Matthias Kohl, Jiahui Li, Shuoyu Xu, Mohammad Azam Khan, Xinpeng Xie, Praveen Koduganty, Neeraj Kumar, Philipp Gruening, Krishanu Das Baksi, Saravanan Radhakrishnan, That-Vinh Ton, Yunzhi Wang, Anibal Pedraza
Publikováno v:
IEEE Transactions on Medical Imaging
Generalized nucleus segmentation techniques can contribute greatly to reducing the time to develop and validate visual biomarkers for new digital pathology datasets. We summarize the results of MoNuSeg 2018 Challenge whose objective was to develop ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44290c831558b95a1b8370aab73f3546
Publikováno v:
Anales de Pediatría, Vol 95, Iss 5, Pp 393- (2021)
Externí odkaz:
https://doaj.org/article/e26c3427fbb1492d990f7d0e1e154f61