Classification of histopathological images using Deep Learning

被引：0

作者：

Badea, Liviu ^{[1
]}

Stanescu, Emil ^{[1
]}

机构：

[1] ICI Bucuresti, Inst Natl Cercetare Dezvoltare Informat, Bucharest, Romania

来源：

ROMANIAN JOURNAL OF INFORMATION TECHNOLOGY AND AUTOMATIC CONTROL-REVISTA ROMANA DE INFORMATICA SI AUTOMATICA | 2020年 / 30卷 / 01期

关键词：

medical imaging; digital histopathology; Deep Learning;

D O I：

10.33436/v30i1y202002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we present an original application dealing with the classification of histopathological images using Deep Learning. We first describe, briefly, the field of digital histopathology. We then present the use of various convolutional neural architectures for tissue classification based on WSI histopathological images from the GTEx dataset, obtaining classification accuracies around 93-94%.

引用

页码：27 / 36

页数：10

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