136 related articles for article (PubMed ID: 38241949)
21. 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]
22. Detection of red and white blood cells from microscopic blood images using a region proposal approach.
Di Ruberto C; Loddo A; Putzu L
Comput Biol Med; 2020 Jan; 116():103530. PubMed ID: 31778895
[TBL] [Abstract][Full Text] [Related]
23. Tile-based microscopic image processing for malaria screening using a deep learning approach.
Shewajo FA; Fante KA
BMC Med Imaging; 2023 Mar; 23(1):39. PubMed ID: 36949382
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Laboratory productivity and the rate of manual peripheral blood smear review: a College of American Pathologists Q-Probes study of 95,141 complete blood count determinations performed in 263 institutions.
Novis DA; Walsh M; Wilkinson D; St Louis M; Ben-Ezra J
Arch Pathol Lab Med; 2006 May; 130(5):596-601. PubMed ID: 16683868
[TBL] [Abstract][Full Text] [Related]
26. Fully automated detection of the counting area in blood smears for computer aided hematology.
Rupp S; Schlarb T; Hasslmeyer E; Zerfass T
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7759-62. PubMed ID: 22256137
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Automated estimation of parasitaemia of Plasmodium yoelii-infected mice by digital image analysis of Giemsa-stained thin blood smears.
Ma C; Harrison P; Wang L; Coppel RL
Malar J; 2010 Dec; 9():348. PubMed ID: 21122144
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Localization and recognition of leukocytes in peripheral blood: A deep learning approach.
Reena MR; Ameer PM
Comput Biol Med; 2020 Nov; 126():104034. PubMed ID: 33068806
[TBL] [Abstract][Full Text] [Related]
31. Examination of peripheral blood films using automated microscopy; evaluation of Diffmaster Octavia and Cellavision DM96.
Ceelie H; Dinkelaar RB; van Gelder W
J Clin Pathol; 2007 Jan; 60(1):72-9. PubMed ID: 16698955
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Counting White Blood Cells from a Blood Smear Using Fourier Ptychographic Microscopy.
Chung J; Ou X; Kulkarni RP; Yang C
PLoS One; 2015; 10(7):e0133489. PubMed ID: 26186353
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Image analysis and artificial intelligence in infectious disease diagnostics.
Smith KP; Kirby JE
Clin Microbiol Infect; 2020 Oct; 26(10):1318-1323. PubMed ID: 32213317
[TBL] [Abstract][Full Text] [Related]
36. Automatic Detection and Counting of Blood Cells in Smear Images Using RetinaNet.
Drałus G; Mazur D; Czmil A
Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828220
[TBL] [Abstract][Full Text] [Related]
37. Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison.
Anilkumar KK; Manoj VJ; Sagi TM
Med Eng Phys; 2021 Dec; 98():8-19. PubMed ID: 34848042
[TBL] [Abstract][Full Text] [Related]
38. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
Elife; 2020 Oct; 9():. PubMed ID: 33074102
[TBL] [Abstract][Full Text] [Related]
39. [Health technology assessment report: Computer-assisted Pap test for cervical cancer screening].
Della Palma P; Moresco L; Giorgi Rossi P
Epidemiol Prev; 2012; 36(5 Suppl 3):e1-43. PubMed ID: 23139174
[TBL] [Abstract][Full Text] [Related]
40. Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.
Kassim YM; Palaniappan K; Yang F; Poostchi M; Palaniappan N; Maude RJ; Antani S; Jaeger S
IEEE J Biomed Health Inform; 2021 May; 25(5):1735-1746. PubMed ID: 33119516
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
