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Prediction of benign and malignant ovarian tumors using Resnet34 on ultrasound images.
Miao, Kuo; Zhao, Ning; Lv, Qian; He, Xin; Xu, Mingda; Dong, Xiaoqiu; Li, Dandan; Shao, Xiaohui.
Affiliation
  • Miao K; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhao N; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Lv Q; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • He X; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Xu M; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Dong X; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Li D; Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China.
  • Shao X; Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
J Obstet Gynaecol Res ; 49(12): 2910-2917, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37696522
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Adnexal Diseases Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Obstet Gynaecol Res Journal subject: GINECOLOGIA / OBSTETRICIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Australia
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Adnexal Diseases Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Obstet Gynaecol Res Journal subject: GINECOLOGIA / OBSTETRICIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Australia