Art

J-GLOBAL ID：202202248693126048   Reference number：22A0381569

Application of Deep Convolutional Neural Networks for Discriminating Benign, Borderline, and Malignant Serous Ovarian Tumors From Ultrasound Images

超音波画像からの良性,境界線および悪性漿液性卵巣腫瘍の識別のための深層畳込みニューラルネットワークの応用【JST・京大機械翻訳】

Author (14)： Wang Huiquan (1School of Electrical and Electronic Engineering, TianGong University, Tianjin, China) ,  Liu Chunli (1School of Electrical and Electronic Engineering, TianGong University, Tianjin, China) ,  Zhao Zhe (1School of Electrical and Electronic Engineering, TianGong University, Tianjin, China) ,  Zhang Chao (2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China) ,  Zhang Chao (3The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China) ,  Wang Xin (4Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, China) ,  Li Huiyang (3The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China) ,  Wu Haixiao (2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China) ,  Wu Haixiao (3The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China) ,  Liu Xiaofeng (2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China) ,  Li Chunxiang (2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China) ,  Qi Lisha (2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China) ,  Ma Wenjuan (2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China) ,  Ma Wenjuan (3The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China)
Material： Frontiers in Oncology (Web)
Volume： 11  Page： 770683  Publication year： 2021 
JST Material Number： U7089A  ISSN： 2234-943X  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Objective: This study aimed to...

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Thesaurus term： *ultrasonic wave ,  learning ,  ultrasonic test ,  *tumor ,  benign tumor ,  *ultrasonic image ,  computer architecture ,  *ovarian tumor
Semi thesaurus term： 後向き研究 ,  ROC曲線 ,  悪性腫瘍 ,  診断精度 ,  特異性 ,  深層学習 ,  *畳込みニューラルネットワーク , 【Automatic Indexing@JST】

Author keywords (5)： deep convolutional neural network ,  deep learning ,  ultrasound ,  serous ovarian tumor ,  transfer learning

JST classification (2)： Tumors(=neoplasms)of female genitalia and fetus  (GS04000K) ,  Diagnosis of tumors(=neoplasms)  (GE03020J)

Reference (30)：

• Jayson GC, Kohn EC, Kitchener HC, Ledermann JA. Ovarian Cancer. Lancet (2014) 384:1376-88. doi: doi: 10.1016/S0140-6736(13)62146-7
• Torre LA, Trabert B, DeSantis CE, Miller KD, Samimi G, Runowicz CD, et al. Ovarian Cancer Statistics, 2018. CA Cancer J Clin (2018) 68:284-96. doi: doi: 10.3322/caac.21456
• Fischerova D, Zikan M, Dundr P, Cibula D. Diagnosis, Treatment, and Follow-Up of Borderline Ovarian Tumors. Oncologist (2012) 17:1515-33. doi: doi: 10.1634/theoncologist.2012-0139
• Auersperg N, Wong AS, Choi KC, Kang SK, Leung PC. Ovarian Surface Epithelium: Biology, Endocrinology, and Pathology. Endocr Rev (2001) 22:255-88. doi: doi: 10.1210/edrv.22.2.0422
• Willmann JK, Bonomo L, Testa AC, Rinaldi P, Rindi G, Valluru KS, et al. Ultrasound Molecular Imaging With BR55 in Patients With Breast and Ovarian Lesions: First-In-Human Results. J Clin Oncol (2017) 35:2133-40. doi: doi: 10.1200/JCO.2016.70.8594

Terms in the title (6)： 音波画像 ,  境界線 ,  卵巣腫瘍 ,  識別 ,  深層畳込みニューラルネットワーク ,  応用