Pathology Image Analysis Using Segmentation Deep Learning Algorithms

The American Journal of Pathology
Shidan WangGuanghua Xiao


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


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)
Pathologic Processes
Computer Software

Trending Feeds


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Synthetic Genetic Array Analysis

Synthetic genetic arrays allow the systematic examination of genetic interactions. Here is the latest research focusing on synthetic genetic arrays and their analyses.

Neural Activity: Imaging

Imaging of neural activity in vivo has developed rapidly recently with the advancement of fluorescence microscopy, including new applications using miniaturized microscopes (miniscopes). This feed follows the progress in this growing field.

Computational Methods for Protein Structures

Computational methods employing machine learning algorithms are powerful tools that can be used to predict the effect of mutations on protein structure. This is important in neurodegenerative disorders, where some mutations can cause the formation of toxic protein aggregations. This feed follows the latests insights into the relationships between mutation and protein structure leading to better understanding of disease.

Congenital Hyperinsulinism

Congenital hyperinsulinism is caused by genetic mutations resulting in excess insulin secretion from beta cells of the pancreas. Here is the latest research.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Epigenetic Memory

Epigenetic memory refers to the heritable genetic changes that are not explained by the DNA sequence. Find the latest research on epigenetic memory here.

Cell Atlas of the Human Eye

Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.

Femoral Neoplasms

Femoral Neoplasms are bone tumors that arise in the femur. Discover the latest research on femoral neoplasms here.

Related Papers

Medical Image Analysis
Geert LitjensClara I Sánchez
IEEE Transactions on Neural Networks and Learning Systems
Fuyong Xing Lin Yang
Journal of Medical Systems
Syed Muhammad AnwarMuhammad Khurram Khan
Frontiers in Cardiovascular Medicine
Chen ChenDaniel Rueckert
© 2021 Meta ULC. All rights reserved