Open AccessRobust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator
Author(s) -
Jialin Yuan,
Damanpreet Kaur,
Zheng Zhou,
Michael F. Nagle,
Nicholas George Kiddle,
Nihar A. Doshi,
Ali Behnoudfar,
Ekaterina Peremyslova,
Cathleen Ma,
Steven H. Strauss,
Fuxin Li
Publication year - 2022
Publication title -
plant phenomics
Language(s) - English
Resource type - Journals
eISSN - 2097-0374
pISSN - 2643-6515
DOI - 10.34133/2022/9893639
Subject(s) - computer science , segmentation , graphical user interface , artificial intelligence , annotation , throughput , machine learning , user interface , interface (matter) , process (computing) , visualization , data mining , telecommunications , bubble , maximum bubble pressure method , parallel computing , wireless , programming language , operating system
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