Journal of Pathology Informatics Journal of Pathology Informatics
Contact us | Home | Login   |  Users Online: 144  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 

    Article Cited by others


Peripheral blood smear image analysis: A comprehensive review

Mohammed Emad A, Mohamed Mostafa M. A., Far Behrouz H, Naugler Christopher

Year : 2014| Volume: 5| Issue : 1 | Page no: 9-9

   This article has been cited by
1 Automatic quantification of lymphocyte vacuolization in peripheral blood smears of patients with Batten's disease ( CLN3 disease)
Lourens J. P. Nonkes, Willemijn F. E. Kuper, Karin Berrens-Hogenbirk, Ruben E. A. Musson, Peter M. Hasselt, Albert Huisman
JIMD Reports. 2021; 58(1): 100
[Pubmed]  [Google Scholar] [DOI]
2 Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review
Daniel S Herman, Daniel D Rhoads, Wade L Schulz, Thomas J S Durant
Clinical Chemistry. 2021; 67(11): 1466
[Pubmed]  [Google Scholar] [DOI]
3 A Cascaded Classification-Segmentation Reversible System for Computer-Aided Detection and Cells Counting in Microscopic Peripheral Blood Smear Basophils and Eosinophils Images
Amira S. Ashour, Maram A. Wahba, Rami Ghannam
IEEE Access. 2021; 9: 78883
[Pubmed]  [Google Scholar] [DOI]
4 Experimental evaluation of deep learning method in reticulocyte enumeration in peripheral blood
Geng Wang, Tianci Zhao, Zhejun Fang, Heqing Lian, Xin Wang, Zepeng Li, Wei Wu, Bairui Li, Qian Zhang
International Journal of Laboratory Hematology. 2021; 43(4): 597
[Pubmed]  [Google Scholar] [DOI]
5 Single and Clustered Cervical Cell Classification with Ensemble and Deep Learning Methods
Mohammed Kuko, Mohammad Pourhomayoun
Information Systems Frontiers. 2020; 22(5): 1039
[Pubmed]  [Google Scholar] [DOI]
6 Essential role of laboratory physicians in transformation of laboratory practice and management to a value-based patient-centric model
Deirdre L. Church, Christopher Naugler
Critical Reviews in Clinical Laboratory Sciences. 2020; 57(5): 323
[Pubmed]  [Google Scholar] [DOI]
7 A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score
A. I. Shahin,Yanhui Guo,K. M. Amin,Amr A. Sharawi
Health Information Science and Systems. 2018; 6(1)
[Pubmed]  [Google Scholar] [DOI]
8 Rapid preparation and single-cell analysis of concentrated blood smears using a high-throughput blood cell separator and a microfabricated grid film
Dongwon You,Sein Oh,Byeongyeon Kim,Young Ki Hahn,Sungyoung Choi
Journal of Chromatography A. 2017; 1507: 141
[Pubmed]  [Google Scholar] [DOI]
9 New quantitative features for the morphological differentiation of abnormal lymphoid cell images from peripheral blood
Laura Puigví,Anna Merino,Santiago Alférez,Andrea Acevedo,José Rodellar
Journal of Clinical Pathology. 2017; 70(12): 1038
[Pubmed]  [Google Scholar] [DOI]
10 Quantitative distinction of the morphological characteristic of erythrocyte precursor cells with texture analysis using gray level co-occurrence matrix
Keigo Kono,Ruka Hayata,Satoru Murakami,Mai Yamamoto,Maiko Kuroki,Kana Nanato,Kazuto Takahashi,Keiko Miwa,Yutaka Tsutsumi,Kazunori Okada,Sanae Kaga,Taisei Mikami,Nobuo Masauzi
Journal of Clinical Laboratory Analysis. 2017; : e22175
[Pubmed]  [Google Scholar] [DOI]
11 White blood cell differential count of maturation stages in bone marrow smear using dual-stage convolutional neural networks
Jin Woo Choi,Yunseo Ku,Byeong Wook Yoo,Jung-Ah Kim,Dong Soon Lee,Young Jun Chai,Hyoun-Joong Kong,Hee Chan Kim,Constantino Carlos Reyes-Aldasoro
PLOS ONE. 2017; 12(12): e0189259
[Pubmed]  [Google Scholar] [DOI]
12 Voting for Image Scoring and Assessment (VISA) - theory and application of a 2?+?1 reader algorithm to improve accuracy of imaging endpoints in clinical trials
Klaus Gottlieb,Fez Hussain
BMC Medical Imaging. 2015; 15(1): 6
[Pubmed]  [Google Scholar] [DOI]


Read this article