252 related articles for article (PubMed ID: 29721616)
1. Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images.
Hegde RB; Prasad K; Hebbar H; Singh BMK
J Med Syst; 2018 May; 42(6):110. PubMed ID: 29721616
[TBL] [Abstract][Full Text] [Related]
2. Image Processing Approach for Detection of Leukocytes in Peripheral Blood Smears.
Hegde RB; Prasad K; Hebbar H; Singh BMK
J Med Syst; 2019 Mar; 43(5):114. PubMed ID: 30903283
[TBL] [Abstract][Full Text] [Related]
3. GFNB: Gini index-based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images.
Das BK; Dutta HS
Med Biol Eng Comput; 2020 Nov; 58(11):2789-2803. PubMed ID: 32929660
[TBL] [Abstract][Full Text] [Related]
4. Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images.
Hegde RB; Prasad K; Hebbar H; Singh BMK; Sandhya I
J Digit Imaging; 2020 Apr; 33(2):361-374. PubMed ID: 31728805
[TBL] [Abstract][Full Text] [Related]
5. Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers.
Prinyakupt J; Pluempitiwiriyawej C
Biomed Eng Online; 2015 Jun; 14():63. PubMed ID: 26123131
[TBL] [Abstract][Full Text] [Related]
6. Nucleus and cytoplasm-based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images.
Jha KK; Dutta HS
Med Biol Eng Comput; 2020 Jan; 58(1):171-186. PubMed ID: 31811554
[TBL] [Abstract][Full Text] [Related]
7. Automatic detection and classification of leukocytes using convolutional neural networks.
Zhao J; Zhang M; Zhou Z; Chu J; Cao F
Med Biol Eng Comput; 2017 Aug; 55(8):1287-1301. PubMed ID: 27822698
[TBL] [Abstract][Full Text] [Related]
8. Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms.
Acharya V; Kumar P
Med Biol Eng Comput; 2019 Aug; 57(8):1783-1811. PubMed ID: 31201595
[TBL] [Abstract][Full Text] [Related]
9. New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images.
Tavakoli S; Ghaffari A; Kouzehkanan ZM; Hosseini R
Sci Rep; 2021 Sep; 11(1):19428. PubMed ID: 34593873
[TBL] [Abstract][Full Text] [Related]
10. Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study.
Hegde RB; Prasad K; Hebbar H; Singh BMK
Australas Phys Eng Sci Med; 2019 Jun; 42(2):627-638. PubMed ID: 30830652
[TBL] [Abstract][Full Text] [Related]
11. White blood cells identification system based on convolutional deep neural learning networks.
Shahin AI; Guo Y; Amin KM; Sharawi AA
Comput Methods Programs Biomed; 2019 Jan; 168():69-80. PubMed ID: 29173802
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Haematology Microscope Images: A Review-Challenges, Current and Future Potential Techniques.
Al-Dulaimi K; Banks J; Nugyen K; Al-Sabaawi A; Tomeo-Reyes I; Chandran V
IEEE Rev Biomed Eng; 2021; 14():290-306. PubMed ID: 32746365
[TBL] [Abstract][Full Text] [Related]
13. Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network.
Khan S; Sajjad M; Abbas N; Escorcia-Gutierrez J; Gamarra M; Muhammad K
Comput Biol Med; 2024 May; 174():108146. PubMed ID: 38608320
[TBL] [Abstract][Full Text] [Related]
14. Neural networks and blood cell identification.
Micheli-Tzanakou E; Sheikh H; Zhu B
J Med Syst; 1997 Aug; 21(4):201-10. PubMed ID: 9442434
[TBL] [Abstract][Full Text] [Related]
15. Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine.
Ravikumar S
Artif Cells Nanomed Biotechnol; 2016 May; 44(3):985-9. PubMed ID: 25707440
[TBL] [Abstract][Full Text] [Related]
16. Leucocyte classification for leukaemia detection using image processing techniques.
Putzu L; Caocci G; Di Ruberto C
Artif Intell Med; 2014 Nov; 62(3):179-91. PubMed ID: 25241903
[TBL] [Abstract][Full Text] [Related]
17. LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks.
Fan H; Zhang F; Xi L; Li Z; Liu G; Xu Y
J Biophotonics; 2019 Jul; 12(7):e201800488. PubMed ID: 30891934
[TBL] [Abstract][Full Text] [Related]
18. Recent computational methods for white blood cell nuclei segmentation: A comparative study.
Andrade AR; Vogado LHS; Veras RMS; Silva RRV; Araujo FHD; Medeiros FNS
Comput Methods Programs Biomed; 2019 May; 173():1-14. PubMed ID: 31046984
[TBL] [Abstract][Full Text] [Related]
19. Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering.
Liu Z; Liu J; Xiao X; Yuan H; Li X; Chang J; Zheng C
Sensors (Basel); 2015 Sep; 15(9):22561-86. PubMed ID: 26370995
[TBL] [Abstract][Full Text] [Related]
20. WBC-based segmentation and classification on microscopic images: a minor improvement.
Lam XH; Ng KW; Yoong YJ; Ng SB
F1000Res; 2021; 10():1168. PubMed ID: 35399225
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
