Automatic Segmentation of Red Blood Cells from Microscopic Blood Smear Images Using Image Processing Techniques-Reference-Cited by-同舟云学术

Automatic Segmentation of Red Blood Cells from Microscopic Blood Smear Images Using Image Processing Techniques

Published:2022-07-06 Issue: Volume: Page:39-50
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Navya K. T.^ORCID,Das Subhraneil,Prasad Keerthana^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9967-2_5

Reference22 articles.

1. H. Mohan, Textbook of Pathology (Medical Publishers Pvt. Limited, Jaypee Brothers, 2018)

2. K.W. Jones, Evaluation of cell morphology and introduction to platelet and white blood cell morphology. Clin. Hematol. Fundam. Hemost. 93–116 (2009)

3. J.M. Sharif, M. Miswan, M. Ngadi, M.S.H. Salam, M.M. bin Abdul Jamil, Red blood cell segmentation using masking and watershed algorithm: a preliminary study, in 2012 International Conference on Biomedical Engineering (ICoBE) (IEEE, 2012), pp. 258–262

4. S.M. Mazalan, N.H. Mahmood, M.A.A. Razak, Automated red blood cells counting in peripheral blood smear image using circular Hough transform, in 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation (IEEE, 2013), pp. 320–324

5. Y.M. Alomari, S. Abdullah, S.N. Huda, R. Zaharatul Azma, K. Omar, Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm. Comput. Math. Methods Med. 2014 (2014)

Cited by 2 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. Using Multiclass Semantic Segmentation for Close Boundaries and Overlapping Blood Cells;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

2. Automated Dengue Recognition and Analysis through Image Processing and Machine Learning;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23