Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help cancer researchers develop a better understanding of cancer biology. Segmentation of nuclei and classification of tissue...

Full description

Bibliographic Details
Main Authors: Quoc Dang Vu, Simon Graham, Tahsin Kurc, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Jayashree Kalpathy-Cramer, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz, Keyvan Farahani
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
digital pathology
tissue images
image analysis
segmentation
classification
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2019.00053/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2019.00053/full

Similar Items