Automatic Counting Method for Centipedes Based on Deep Learning

Author:

Yao Jin1,Chen Weitao2ORCID,Wang Tao2,Yang Fu2,Sun Xiaoyan1,Yao Chong1,Jia Liangquan2ORCID

Affiliation:

1. Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China

2. School of Information Engineering, Huzhou University, Huzhou, China

Funder

Major Project for the Modernization of Traditional Chinese Medicine Jointly Established by the State Administration of Traditional Chinese Medicine and Zhejiang Province

Research on Quality Grade Evaluation and Application of Traditional Chinese Medicine Pieces Based on “Optimal Shape-Quality-Efficacy” Correlation

Huzhou City Key Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference30 articles.

1. Bugs as drugs, part two: Worms, leeches, scorpions, snails, ticks, centipedes, and spiders;Cherniack;Altern Med. Rev.,2011

2. Tropical dermatology: Venomous arthropods and human skin: Part II. Diplopoda, Chilopoda, and Arachnida;Haddad;J. Amer. Acad. Dermatol.,2012

3. Object Detection in 20 Years: A Survey

4. Automated classification of tropical plant species data based on machine learning techniques and leaf trait measurements;Hussein

5. Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer’s Disease

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