Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Wei-Hsiang Yu"'
Autor:
Chi-Long Chen, Chi-Chung Chen, Wei-Hsiang Yu, Szu-Hua Chen, Yu-Chan Chang, Tai-I Hsu, Michael Hsiao, Chao-Yuan Yeh, Cheng-Yu Chen
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole slide images (WSIs), which requires researchers to adopt patch-based methods and laborious free-hand contouring. Here, the authors develop a whole-slide
Externí odkaz:
https://doaj.org/article/47ff16da572b44e18dc48650a6b00d47
Autor:
Wei-Hsiang Yu, 游為翔
103
Electrophysiological evidence suggests that the visual cortical neurons encode disparity through either position or phase difference between left and right receptive fields. Since Anzai, Ohzawa, & Freeman (1999a) proposed that the visual cor
Electrophysiological evidence suggests that the visual cortical neurons encode disparity through either position or phase difference between left and right receptive fields. Since Anzai, Ohzawa, & Freeman (1999a) proposed that the visual cor
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/40370438207364673425
Publikováno v:
In Materials Science & Engineering B February 2021 264
Autor:
Wei-Hsiang Yu, 余暐祥
98
In order to solve the increasingly serious water pollution and reach the goal of modernized country, all the cities in Taiwan are subsidized by the government in the construction of sewerage in recent years. Taipei city has proceeded the cons
In order to solve the increasingly serious water pollution and reach the goal of modernized country, all the cities in Taiwan are subsidized by the government in the construction of sewerage in recent years. Taipei city has proceeded the cons
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/17910651083898062836
Autor:
Wei-Hsiang Yu, Tong-Hong Wang, Chang-Fu Kuo, Chao-Yuan Yeh, Shang-Hung Chang, Chi-Chung Chen, Chi-Ju Yeh, Chuen Hsueh, Shir-Hwa Ueng, Wen-Yu Chuang
Publikováno v:
Modern Pathology
Detection of nodal micrometastasis (tumor size: 0.2–2.0 mm) is challenging for pathologists due to the small size of metastatic foci. Since lymph nodes with micrometastasis are counted as positive nodes, detecting micrometastasis is crucial for acc
Autor:
Wen-Yu Chuang, Wei-Hsiang Yu, Yen-Chen Lee, Qun-Yi Zhang, Hung Chang, Lee-Yung Shih, Chi-Ju Yeh, Samuel Mu-Tse Lin, Shang-Hung Chang, Shir-Hwa Ueng, Tong-Hong Wang, Chuen Hsueh, Chang-Fu Kuo, Shih-Sung Chuang, Chao-Yuan Yeh
Publikováno v:
The American journal of pathology. 192(12)
Blastoid/pleomorphic morphology is associated with short survival in mantle cell lymphoma (MCL), but its prognostic value is overridden by Ki-67 in multivariate analysis. Herein, a nuclear segmentation model was developed using deep learning, and nuc
Autor:
Ren Ching Wang, Bo-Jung Chen, Chang-Tsu Yuan, Chung-Han Ho, Wen-Yu Chuang, Shang-Wen Chen, Julia Hueimei Chang, Wei-Hsiang Yu, Shih-Sung Chuang
Publikováno v:
Pathology - Research and Practice. 240:154184
Primary intestinal T-cell lymphomas (PITLs) comprise enteropathy-associated T-cell lymphoma (EATL), monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL), extranodal NK/T-cell lymphoma (ENKTL), anaplastic large cell lymphoma (ALCL), and inte
Publikováno v:
Cancers, Vol 13, Iss 5463, p 5463 (2021)
Cancers
Volume 13
Issue 21
Cancers
Volume 13
Issue 21
Simple Summary We presented a machine learning approach for accurate quantification of nuclear morphometrics and differential diagnosis of primary intestinal T-cell lymphomas. The human interpretable machine learning approach can be easily applied to
Autor:
Jia-Ren Chang, Min Sheng Wu, Wei-Hsiang Yu, Chao-Yuan Yeh, Yen Yu Lin, Cheng Kung Yang, Chi-Chung Chen
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
MICCAI (3)
Computational histopathology studies have shown that stain color variations considerably hamper the performance. Stain color variations indicate the slides exhibit greatly different color appearance due to the diversity of chemical stains, staining p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73c31b54207b305198d2651410ef8dbd
https://doi.org/10.1007/978-3-030-87199-4_11
https://doi.org/10.1007/978-3-030-87199-4_11
Autor:
Chi-Long Chen, Chi-Chung Chen, Wei-Hsiang Yu, Szu-Hua Chen, Yu-Chan Chang, Tai-I Hsu, Michael Hsiao, Chao-Yuan Yeh, Cheng-Yu Chen
Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole slide images (WSIs). Most studies adopt patch-based methods which, however, require well annotated data for training. These are typically done by labori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcdd55f7e468a3c19f40abc62e399952
https://doi.org/10.21203/rs.3.rs-48727/v1
https://doi.org/10.21203/rs.3.rs-48727/v1