Classification of glomerular hypercellularity using convolutional features and support vector machine
作者：
Highlights：
• Novel architecture of CNN and SVM to classify hypercellularity.
• Binary and multi-classification of hypercellularity.
• Consensus analysis of the misclassifications including pathologists and machine.
摘要
•Novel architecture of CNN and SVM to classify hypercellularity.•Binary and multi-classification of hypercellularity.•Consensus analysis of the misclassifications including pathologists and machine.
论文关键词：Hypercellularity,Human kidney biopsy,Convolutional neural network
论文评审过程：Received 29 April 2019, Revised 19 November 2019, Accepted 13 January 2020, Available online 25 January 2020, Version of Record 31 January 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101808
