Fully‐automatic raw G‐band chromosome image segmentation-Reference-Cited by-同舟云学术

Fully‐automatic raw G‐band chromosome image segmentation

Published:2020-06-03 Issue:9 Volume:14 Page:1920-1928
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Altinsoy Emrecan¹^ORCID,Yang Jie¹²,Yilmaz Can¹

Affiliation:

1. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong UniversityShanghaiPeople's Republic of China

2. Institute of Medical Robotics, Shanghai Jiao Tong UniversityShanghaiPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1104

Reference38 articles.

1. Automatic Karyotype Analysis

2. Karyotyping for chromosomal abnormalities;O'Connor C.;Nature Educ.,2008

3. A Threshold Selection Method from Gray-Level Histograms

4. Intelligent splitting in the chromosome domain;Ji L.;Pattern Recognit.,1989

5. 2005 IFMBE Proc. Prague Czech Republic P. Karvelis D. Fotiadis M. Syrrou Segmentation of chromosome images based on a recursive watershed transform 1727 1983

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An automatic progressive chromosome segmentation approach using deep learning with traditional image processing;Medical & Biological Engineering & Computing;2023-09-28

2. An automatic progressive chromosome segmentation approach using deep learning with traditional image processing;MED BIOL ENG COMPUT;2023

3. Chromosome Cluster Type Identification Using a Swin Transformer;Applied Sciences;2023-07-08

4. Chromosome Overlap Segmentation Algorithm Based on Chromosome Outline and Skeleton;2023 11th International Conference on Bioinformatics and Computational Biology (ICBCB);2023-04-21

5. An improved whale optimization algorithm based on multilevel threshold image segmentation using the Otsu method;Engineering Applications of Artificial Intelligence;2022-08