期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Diagnosis of primary clear cell carcinoma of the liver based on Faster region-based convolutional neural network
1
作者 Bin Liu Jianfei Li +3 位作者 Xue Yang Feng Chen Yanyan Zhang Hongjun Li 《Chinese Medical Journal》 SCIE CAS CSCD 2023年第22期2706-2711,共6页
Background:Distinguishing between primary clear cell carcinoma of the liver(PCCCL)and common hepatocellular carcinoma(CHCC)through traditional inspection methods before the operation is difficult.This study aimed to e... Background:Distinguishing between primary clear cell carcinoma of the liver(PCCCL)and common hepatocellular carcinoma(CHCC)through traditional inspection methods before the operation is difficult.This study aimed to establish a Faster region-based convolutional neural network(RCNN)model for the accurate differential diagnosis of PCCCL and CHCC.Methods:In this study,we collected the data of 62 patients with PCCCL and 1079 patients with CHCC in Beijing YouAn Hospital from June 2012 to May 2020.A total of 109 patients with CHCC and 42 patients with PCCCL were randomly divided into the training validation set and the test set in a ratio of 4:1.The Faster RCNN was used for deep learning of patients’data in the training validation set,and established a convolutional neural network model to distinguish PCCCL and CHCC.The accuracy,average precision,and the recall of the model for diagnosing PCCCL and CHCC were used to evaluate the detection performance of the Faster RCNN algorithm.Results:A total of 4392 images of 121 patients(1032 images of 33 patients with PCCCL and 3360 images of 88 patients with CHCC)were uesd in test set for deep learning and establishing the model,and 1072 images of 30 patients(320 images of nine patients with PCCCL and 752 images of 21 patients with CHCC)were used to test the model.The accuracy of the model for accurately diagnosing PCCCL and CHCC was 0.962(95%confidence interval[CI]:0.931-0.992).The average precision of the model for diagnosing PCCCL was 0.908(95%CI:0.823-0.993)and that for diagnosing CHCC was 0.907(95%CI:0.823-0.993).The recall of the model for diagnosing PCCCL was 0.951(95%CI:0.916-0.985)and that for diagnosing CHCC was 0.960(95%CI:0.854-0.962).The time to make a diagnosis using the model took an average of 4 s for each patient.Conclusion:The Faster RCNN model can accurately distinguish PCCCL and CHCC.This model could be important for clinicians to make appropriate treatment plans for patients with PCCCL or CHCC. 展开更多
关键词 primary clear cell carcinoma of the liver Common hepatocellular carcinoma Differential diagnosis Faster RCNN CT Faster region-based convolutional neural network
原文传递
上期临床病案讨论结果
2
《普外基础与临床杂志》 1994年第2期83-83,F003,共2页
上期临床病案讨论结果术前诊断左上腹巨大包块:①腹膜后包块(嗜铬细胞瘤?);②左肝肿瘤?手术情况于1994年5月7日在静脉复合麻醉下取双侧肋缘下人字形切口行剖腹探查术。术中见肝脏正常,未扣及结节或肿块,但在左肝下缘与胃... 上期临床病案讨论结果术前诊断左上腹巨大包块:①腹膜后包块(嗜铬细胞瘤?);②左肝肿瘤?手术情况于1994年5月7日在静脉复合麻醉下取双侧肋缘下人字形切口行剖腹探查术。术中见肝脏正常,未扣及结节或肿块,但在左肝下缘与胃小弯之间发现一凸出的巨大肿块。切开... 展开更多
关键词 Interleukin-2 Lymphokine activated killer cells Adoptive immunotherapy primary liver cancer
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部