Pathology Image Analysis Using Segmentation Deep Learning Algorithms

The American Journal of Pathology
Shidan WangGuanghua Xiao

Abstract

With the rapid development of image scanning techniques and visualization software, whole slide imaging (WSI) is becoming a routine diagnostic method. Accelerating clinical diagnosis from pathology images and automating image analysis efficiently and accurately remain significant challenges. Recently, deep learning algorithms have shown great promise in pathology image analysis, such as in tumor region identification, metastasis detection, and patient prognosis. Many machine learning algorithms, including convolutional neural networks, have been proposed to automatically segment pathology images. Among these algorithms, segmentation deep learning algorithms such as fully convolutional networks stand out for their accuracy, computational efficiency, and generalizability. Thus, deep learning-based pathology image segmentation has become an important tool in WSI analysis. In this review, the pathology image segmentation process using deep learning algorithms is described in detail. The goals are to provide quick guidance for implementing deep learning into pathology image analysis and to provide some potential ways of further improving segmentation performance. Although there have been previous reviews on using machine learning me...Continue Reading

Citations

Oct 31, 2019·Cancers·Shidan WangGuanghua Xiao
Feb 13, 2020·Journal of Pathology and Translational Medicine·Soojeong NamHeounjeong Go
Feb 22, 2020·Scientific Reports·Amy L ShepherdFranca Ronchese
Mar 6, 2020·Cancer Science·Hideyuki Shimizu, Keiichi I Nakayama
Sep 15, 2020·JCO Clinical Cancer Informatics·Matthew NagyAziz Nazha
May 30, 2020·Advances in Anatomic Pathology·Toby C Cornish
Sep 17, 2020·The Journal of Histochemistry and Cytochemistry : Official Journal of the Histochemistry Society·A Sally DavisCharles W Frevert
Oct 14, 2020·EMBO Molecular Medicine·Thomas Gp GrünewaldDominique Heymann
Oct 27, 2020·Journal of Forensic Sciences·Jack GarlandRexson Tse
Oct 1, 2020·Computational and Structural Biotechnology Journal·Erik Meijering

Related Concepts

Medical Imaging
Optical Image Reconstruction
Pathology, Clinical
Diagnostic Imaging
Objective (Goal)
Learning
Pathologic Processes
Pathology
Computer Software
Advice

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