Detecting overlapping instances in microscopy images using extremal region trees-Reference-Cited by-同舟云学术

Detecting overlapping instances in microscopy images using extremal region trees

Published:2016-01 Issue: Volume:27 Page:3-16
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Arteta Carlos^ORCID,Lempitsky Victor,Noble J. Alison,Zisserman Andrew

Funder

RCUK

ERC

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference35 articles.

1. Improved automatic detection and segmentation of cell nuclei in histopathology images;Al-Kofahi;IEEE Trans. Biomed. Eng.,2010

2. Learning to detect cells using non-overlapping extremal regions;Arteta,2012

3. Learning to detect partially overlapping instances;Arteta,2013

4. On detection of multiple object instances using Hough transforms;Barinova;IEEE Trans. Pattern Anal. Mach. Intell.,2012

5. On detection of multiple object instances using hough transforms;Barinova;IEEE Trans. Pattern Anal. Mach. Intell.,2012

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