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A lightweight network for automatic thyroid nodules location and recognition with high speed and accuracy in ultrasound images.
Zhou, Sibo; Qiu, Yuxuan; Han, Lin; Liao, Guoliang; Zhuang, Yan; Ma, Buyun; Luo, Yan; Lin, Jiangli; Chen, Ke.
Affiliation
  • Zhou S; College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Qiu Y; Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China.
  • Han L; College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Liao G; Highong Intellimage Medical Technology (Tianjin) Co., Ltd, Tianjin, China.
  • Zhuang Y; College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Ma B; College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Luo Y; Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China.
  • Lin J; Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China.
  • Chen K; College of Biomedical Engineering, Sichuan University, Chengdu, China.
J Xray Sci Technol ; 30(5): 967-981, 2022.
Article in En | MEDLINE | ID: mdl-35661047
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thyroid Nodule Type of study: Diagnostic_studies Limits: Humans Language: En Journal: J Xray Sci Technol Year: 2022 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thyroid Nodule Type of study: Diagnostic_studies Limits: Humans Language: En Journal: J Xray Sci Technol Year: 2022 Document type: Article