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A deep-learning-based threshold-free method for automated analysis of rodent behavior in the forced swim test and tail suspension test.
Meng, Xuechun; Xia, Yang; Liu, Mingqing; Ning, Yuxing; Li, Hongqi; Liu, Ling; Liu, Ji.
Affiliation
  • Meng X; School of Information Science and Technology, University of Science and Technology of China, Hefei, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Xia Y; School of Information Science and Technology, University of Science and Technology of China, Hefei, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Liu M; School of Information Science and Technology, University of Science and Technology of China, Hefei, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Ning Y; Department of Geriatrics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Li H; Department of Geriatrics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Liu L; Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China; CAS Key Laboratory of Brain Function and Diseases, Life Science School, University of Science and Technology of China, China. Electronic a
  • Liu J; School of Information Science and Technology, University of Science and Technology of China, Hefei, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, China; Department of Endocrinology,
J Neurosci Methods ; 409: 110212, 2024 Sep.
Article in En | MEDLINE | ID: mdl-38960331
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Swimming / Behavior, Animal / Hindlimb Suspension / Deep Learning Limits: Animals Language: En Journal: J Neurosci Methods Year: 2024 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Swimming / Behavior, Animal / Hindlimb Suspension / Deep Learning Limits: Animals Language: En Journal: J Neurosci Methods Year: 2024 Type: Article