Zobrazeno 1 - 10
of 18
pro vyhledávání: '"E. D. Tsougenis"'
Publikováno v:
Ophthalmology and Therapy
The public specialty ophthalmic clinics in Hong Kong, under the Hospital Authority, receive tens of thousands of referrals each year. Triaging these referrals incurs a significant workload for practitioners and the other clinical duties. It is well-e
Autor:
Pheng-Ann Heng, Xi Wang, Qitao Huang, Huangjing Lin, Hao Chen, Muyan Cai, E. D. Tsougenis, Caixia Gan, Qi Dou
Publikováno v:
IEEE Transactions on Cybernetics. 50:3950-3962
Histopathology image analysis serves as the gold standard for cancer diagnosis. Efficient and precise diagnosis is quite critical for the subsequent therapeutic treatment of patients. So far, computer-aided diagnosis has not been widely applied in pa
Autor:
Joshua W. K. Ho, Ka Tak Wong, Benjamin X H Fang, Pek-Lan Khong, Ngai-Tseung Cheung, Kevin Yu, Joyce Ka Yin Chan, Tiffany Y. So, Yiu Chung I Wong, Thomas Chik, Tina P W Lam, Siu-Ting Leung, Varut Vardhanabhuti, Keith Wan-Hang Chiu, Hiu-Yin S Lam, Yiu-Cheong Yeung, Michael D Kuo, Ho-Yuen F Wong, Ming-Yen Ng, E. D. Tsougenis, Abraham Ka Chung Wai, Joanna W K Pang, Christine Shing Yen Lo, Long-Fung J Chiu, Richard Du
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Triaging and prioritising patients for RT-PCR test had been essential in the management of COVID-19 in resource-scarce countries. In this study, we applied machine learning (ML) to the task of detection of SARS-CoV-2 infection using basic laboratory
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030203504
IPMI
IPMI
Accurate segmenting nuclei instances is a crucial step in computer-aided image analysis to extract rich features for cellular estimation and following diagnosis as well as treatment. While it still remains challenging because the wide existence of nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72cc7f16b8c5ca97dc972e8316def5c5
https://doi.org/10.1007/978-3-030-20351-1_53
https://doi.org/10.1007/978-3-030-20351-1_53
Publikováno v:
Complex & Intelligent Systems. 2:205-220
A novel adaptive image watermarking methodology, robust to common signal processing attacks, is proposed in this paper. The introduced watermarking scheme uses prior knowledge in the form of IF–THEN fuzzy rules to intelligently decide the appropria
Publikováno v:
Pattern Recognition. 49:187-197
We augment a new channel called the ?-channel to conventional RGB images, and propose its application in multiple classification and recognition tasks. The new RGB-? image records the same scene using the color and frosted light channel, which are si
Publikováno v:
Expert Systems with Applications. 41:6408-6418
The first adaptive moment-based color image watermarking is presented in this work. The proposed method exploits rotation invariance, high reconstruction capability and computation accuracy of the quaternion radial moments’ (QRMs), subject to the t
Publikováno v:
Applied Mathematics and Computation. 227:222-236
A totally optimized image watermarking methodology that manages to enhance its local behaviour by applying the Krawtchouk moments is presented through this paper. The introduced technique is making use of a simple genetic algorithm in order to optimi
Publikováno v:
Multimedia Tools and Applications. 74:3985-4012
The use of image moments as host coefficients constitutes one of the hot topics in image watermarking field due to their robust behavior. Recenlty, a new approach called separable moments (SMs) has been introduced representing an image as combination