Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images.
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| Title: | Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images. |
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| Authors: | Pan F; School of Interdisciplinary Studies, Lingnan University, Lau Chung Him Building, 8 Castle Peak Rd - Lingnan, Tuen Mun, New Territories, Hong Kong Special Administrative Region, China; Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE), Room 1115-1119, Building 19 W, Hong Kong Science Park, Hong Kong Special Administrative Region, China. Electronic address: fei.pan@ln.edu.hk., Wu Y; Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: yutwu3-c@my.cityu.edu.hk., Cui K; Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE), Room 1115-1119, Building 19 W, Hong Kong Science Park, Hong Kong Special Administrative Region, China; Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: kangnicui2-c@my.cityu.edu.hk., Chen S; Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: shuxuchen2@cityu.edu.hk., Li Y; Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China; School of Communication Engineering, Hangzhou Dianzi University, Qiantang District, Hangzhou, Zhejiang Province, China. Electronic address: yanfangli2-c@my.cityu.edu.hk., Liu Y; Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE), Room 1115-1119, Building 19 W, Hong Kong Science Park, Hong Kong Special Administrative Region, China; Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: yaofanliu2-c@my.cityu.edu.hk., Shakoor A; Control and Instrumentation Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Electronic address: ashakoor2@um.cityu.edu.hk., Zhao H; Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: hazhao3-c@my.cityu.edu.hk., Lu B; Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: beijialu2-c@my.cityu.edu.hk., Zhi S; School of Interdisciplinary Studies, Lingnan University, Lau Chung Him Building, 8 Castle Peak Rd - Lingnan, Tuen Mun, New Territories, Hong Kong Special Administrative Region, China. Electronic address: shaohua.zhi@ln.edu.hk., Chan RH; Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE), Room 1115-1119, Building 19 W, Hong Kong Science Park, Hong Kong Special Administrative Region, China; Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China; School of Data Science, Lingnan University, 8 Castle Peak Rd - Lingnan, Tuen Mun, New Territories, Hong Kong Special Administrative Region, China. Electronic address: raymond.chan@LN.edu.hk., Sun D; Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong Special Administrative Region, China. Electronic address: medsun@cityu.edu.hk. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2024 Nov; Vol. 182, pp. 109151. Date of Electronic Publication: 2024 Sep 26. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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