Faster-RCNN的癌症影像检测方法

被引：12
|
作者：
王黎 [1 ]
陆慧娟 [1 ]
叶敏超 [1 ]
严珂 [1 ]
机构：
[1] 中国计量学院信息工程学院
来源：
中国计量大学学报 | 2018年 / 29卷 / 02期
关键词：
医学影像; Faster-RCNN模型; 拉普拉斯卷积; 癌症检测; 辅助诊断;
D O I：
暂无
中图分类号：
R730.4 [肿瘤诊断学]; TP391.41 [];
学科分类号：
080203 ; 100214 ;
摘要：
医学影像是癌症早期检测的一个重要方式.现提出一种基于更快速区域卷积神经网络(FasterRCNN)的癌症影像检测方法,通过添加拉普拉斯卷积层锐化结节边缘、突出结节轮廓,修改锚框大小,调试超参数提高了检测效果.该方法在保证精度的情况下,提高了诊断效率,为计算机辅助诊断提供了参考.
引用
收藏
页码：136 / 141
页数：6
相关论文
共 7 条
  • [1] MRF‐ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images[J] . T. MUNGLE,S. TEWARY,D.K. DAS,I. ARUN,B. BASAK,S. AGARWAL,R. AHMED,S. CHATTERJEE,C. CHAKRABORTY.Journal of Microscopy . 2017 (2)
  • [2] Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning
    Nguyen, Tan H.
    Sridharan, Shamira
    Macias, Virgilia
    Kajdacsy-Balla, Andre
    Melamed, Jonathan
    Do, Minh N.
    Popescu, Gabriel
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2017, 22 (03)
  • [3] Cancer statistics in China, 2015[J] . Wanqing Chen,Rongshou Zheng,Peter D. Baade,Siwei Zhang,Hongmei Zeng,Freddie Bray,Ahmedin Jemal,Xue Qin Yu,Jie He.CA: A Cancer Journal for Clinicians . 2016 (2)
  • [4] Optimized Laplacian image sharpening algorithm based on graphic processing unit[J] . Tinghuai Ma,Lu Li,Sai Ji,Xin Wang,Yuan Tian,Abdullah Al-Dhelaan,Mznah Al-Rodhaan.Physica A: Statistical Mechanics and its Applicat . 2014
  • [5] Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation[J] . Geoffrey Hinton,Simon Osindero,Max Welling,Yee‐Whye Teh.Cognitive Science . 2010 (4)
  • [6] End-to-End Training of Object Class Detectors for Mean Average Precision .2 Henderson P,Ferrari V. Asian Conference on Computer Vision . 2016
  • [7] Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation .2 Girshick R,Donahue J,Darrell T,et al. Computer Vision and Pattern Recognition . 2014
1