Citation: | Zhixin YANG, Lizhu ZHAO, Yue DENG, Lihua YANG. Differential Diagnosis of Benign and Malignant Ovarian Tumors Based on Convolutional Neural Network[J]. Journal of Kunming Medical University, 2023, 44(10): 134-139. doi: 10.12259/j.issn.2095-610X.S20231027 |
[1] |
狄文,胡媛. 卵巢癌的大数据研究[J]. 中国实用妇科与产科杂志,2018,34(1):18-22. doi: 10.19538/j.fk2018010105
|
[2] |
Reid F,Bhatla N,Oza A M,et al. The World Ovarian Cancer Coalition Every Woman Study: Identifying challenges and opportunities to improve survival and quality of life[J]. Int J Gynecol Cancer,2021,31(2):238-244. doi: 10.1136/ijgc-2019-000983
|
[3] |
La Vecchia C. Ovarian cancer: Epidemiology and risk factors[J]. Eur J Cancer Prev,2017,26(1):55-62. doi: 10.1097/CEJ.0000000000000217
|
[4] |
张家雨,何昕晖,宫婷婷,等. 肉类摄入与卵巢癌发病及预后关系的研究进展[J]. 肿瘤防治研究,2019,46(5):490-496.
|
[5] |
Trinidad C V,Tetlow A L,Bantis L E,et al. Reducing ovarian cancer mortality through early detection: Approaches using circulating biomarkers[J]. Cancer Prev Res (Phila),2020,13(3):241-252. doi: 10.1158/1940-6207.CAPR-19-0184
|
[6] |
Kim G R,Lee E,Kim H R,et al. Convolutional neural network to stratify the malignancy risk of thyroid nodules: Diagnostic performance compared with the American college of radiology thyroid imaging reporting and data system implemented by experienced radiologists[J]. AJNR Am J Neuroradiol,2021,42(8):1513-1519. doi: 10.3174/ajnr.A7149
|
[7] |
Hejduk P,Marcon M,Unkelbach J,et al. Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network[J]. Eur Radiol,2022,32(7):4868-4878. doi: 10.1007/s00330-022-08558-0
|
[8] |
Mitrea D,Badea R,Mitrea P,et al. Hepatocellular carcinoma automatic diagnosis within CEUS and B-Mode ultrasound images using advanced machine learning methods[J]. Sensors (Basel),2021,21(6):1-31. doi: 10.1109/JSEN.2021.3057283
|
[9] |
李睿,许祥丛,林静怡,等. 基于卷积神经网络的超声影像肝癌自动分类[J]. 生物化学与生物物理进展,2023,50(3):668-675. doi: 10.16476/j.pibb.2022.0101
|
[10] |
曹宇,邢素霞,逄键梁,等. 基于改进的VGG-16卷积神经网络的肺结节检测[J]. 中国医学物理学杂志,2020,37(7):940-944. doi: 10.3969/j.issn.1005-202X.2020.07.026
|
[11] |
高慧明. 基于卷积神经网络的肺结节检测及良恶性分类方法研究[D]. 太原: 太原理工大学, 2019.
|
[12] |
Han Y,Ma Y,Wu Z,et al. Histologic subtype classification of non-small cell lung cancer using PET/CT images[J]. Eur J Nucl Med Mol Imaging,2021,48(2):350-360. doi: 10.1007/s00259-020-04771-5
|
[13] |
Alshammari A. Construction of VGG16 convolution neural network (VGG16_CNN) classifier with NestNet-Based segmentation paradigm for brain metastasis classification[J]. Sensors (Basel),2022,22(20):1-19. doi: 10.1109/JSEN.2022.3211123
|
[14] |
Altun S,Alkan A,Altun I. LSS-VGG16: Diagnosis of lumbar spinal stenosis with deep learning[J]. Clin Spine Surg,2023,36(5):E180-E190. doi: 10.1097/BSD.0000000000001418
|
[15] |
刘雪纯,刘大铭,常佳鑫,等. 基于MobileNet V2迁移学习的中药材图像识别[J]. 长江信息通信,2022,35(7):33-37. doi: 10.3969/j.issn.1673-1131.2022.07.009
|
[16] |
易振通,吴瑰,官端正,等. 轻量化卷积神经网络的研究综述[J]. 工业控制计算机,2022,35(10):109-111.
|
[17] |
Palczynski K,Smigiel S,Gackowska M,et al. IoT application of transfer learning in hybrid artificial intelligence systems for acute lymphoblastic leukemia classification[J]. Sensors (Basel),2021,21(23):1-12. doi: 10.1109/JSEN.2021.3128120
|
[18] |
Srinivasu P N,SivaSai J G,Ijaz M F,et al. Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM[J]. Sensors (Basel),2021,21(8):1-27. doi: 10.1109/JSEN.2021.3063942
|
[19] |
Yu C J,Yeh H J,Chang C C,et al. Lightweight deep neural networks for cholelithiasis and cholecystitis detection by point-of-care ultrasound[J]. Comput Methods Programs Biomed,2021,211:106382. doi: 10.1016/j.cmpb.2021.106382
|
[20] |
Martinez-Mas J,Bueno-Crespo A,Khazendar S,et al. Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images[J]. PLoS One,2019,14(7):e219388.
|
[1] | Ruicheng LI, Hongwei QIAN, Yanni FAN, Peipei ZHAO, Shan WEI, Huarong JING. Application of Logistic Regression and Artificial Neural Networks in the Differential Diagnosis of LC-MPE. Journal of Kunming Medical University, 2024, 45(10): 55-60. doi: 10.12259/j.issn.2095-610X.S20241009 |
[2] | Li Fei Fei , Han Chang Nian , Liu Zhi Qin , Hao Jin Gang . . Journal of Kunming Medical University, 2019, 40(11): 87-91. |
[3] | Wang Ya Mei . Quantitative Analysis of Malignant and Benign Ovarian Masses with Transvaginal Three-dimensional Power Doppler Ultrasound. Journal of Kunming Medical University, |
[4] | Qiu Mei . Unnecessity of Integrating Metabolic Indices into the Diagnosis of Polycystic Ovary Syndrome. Journal of Kunming Medical University, |
[5] | Lin Ken . Diagnosis and Treatment of 98 Children with Thyroglossal Duct Cyst. Journal of Kunming Medical University, |
[6] | Ning Rong Ping . Prenatal Ultrasound Diagnosis and Misdiagnosis Analysis of Fetal Persistent Right Umbilical Vein. Journal of Kunming Medical University, |
[7] | Ma Ju Xiang . . Journal of Kunming Medical University, |
[8] | Zhu Ying Jie . . Journal of Kunming Medical University, |
[9] | Liu Xi . . Journal of Kunming Medical University, |
[10] | Gao Hong . . Journal of Kunming Medical University, |
[11] | Lu Jian Fei . . Journal of Kunming Medical University, |
[12] | Zhao Xing Yuan . . Journal of Kunming Medical University, |
[13] | Zhang Li . . Journal of Kunming Medical University, |
[14] | Yang Li Hua . . Journal of Kunming Medical University, |
[15] | Wu Li Zhen . Value of High Frequency Ultrasound Parameters in Differential Diagnosis of Breast Phyllodes Tumor and Breast Fibroadenoma. Journal of Kunming Medical University, |
[16] | Ma Kai Yu . . Journal of Kunming Medical University, |
[17] | Chen Hai Tao . . Journal of Kunming Medical University, |
[18] | Ma Jin Xia . . Journal of Kunming Medical University, |
[19] | . Ultrasonographic Diagnosis and Misdiagnosis Analysis on Peripheral Neurilemmoma. Journal of Kunming Medical University, |
[20] | Ma Yong Hong . . Journal of Kunming Medical University, |