143 related articles for article (PubMed ID: 31778895)
1. 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]
2. 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]
3. An Automatic and Robust Decision Support System for Accurate Acute Leukemia Diagnosis from Blood Microscopic Images.
Moshavash Z; Danyali H; Helfroush MS
J Digit Imaging; 2018 Oct; 31(5):702-717. PubMed ID: 29654425
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Segmentation of leukocytes and erythrocytes in blood smear images.
Bergen T; Steckhan D; Wittenberg T; Zerfass T
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3075-8. PubMed ID: 19163356
[TBL] [Abstract][Full Text] [Related]
6. Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images.
Jha KK; Dutta HS
Comput Methods Programs Biomed; 2019 Oct; 179():104987. PubMed ID: 31443862
[TBL] [Abstract][Full Text] [Related]
7. Computer-Aided Diagnosis of Acute Lymphoblastic Leukaemia.
Shafique S; Tehsin S
Comput Math Methods Med; 2018; 2018():6125289. PubMed ID: 29681996
[TBL] [Abstract][Full Text] [Related]
8. A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.
Anwar S; Alam A
Med Biol Eng Comput; 2020 Dec; 58(12):3113-3121. PubMed ID: 33159270
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Segmentation of White Blood Cell from Acute Lymphoblastic Leukemia Images Using Dual-Threshold Method.
Li Y; Zhu R; Mi L; Cao Y; Yao D
Comput Math Methods Med; 2016; 2016():9514707. PubMed ID: 27313659
[TBL] [Abstract][Full Text] [Related]
12. Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm.
Alomari YM; Sheikh Abdullah SN; Zaharatul Azma R; Omar K
Comput Math Methods Med; 2014; 2014():979302. PubMed ID: 24803955
[TBL] [Abstract][Full Text] [Related]
13. Simultaneous Segmentation of Leukocyte and Erythrocyte in Microscopic Images Using a Marker-Controlled Watershed Algorithm.
Miao H; Xiao C
Comput Math Methods Med; 2018; 2018():7235795. PubMed ID: 29681997
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification and red blood cell automated counting from blood smear images using computer-aided system.
Acharya V; Kumar P
Med Biol Eng Comput; 2018 Mar; 56(3):483-489. PubMed ID: 28815426
[TBL] [Abstract][Full Text] [Related]
16. An improved computer vision method for white blood cells detection.
Cuevas E; Díaz M; Manzanares M; Zaldivar D; Perez-Cisneros M
Comput Math Methods Med; 2013; 2013():137392. PubMed ID: 23762178
[TBL] [Abstract][Full Text] [Related]
17. Computer aided detection and classification of acute lymphoblastic leukemia cell subtypes based on microscopic image analysis.
MoradiAmin M; Memari A; Samadzadehaghdam N; Kermani S; Talebi A
Microsc Res Tech; 2016 Oct; 79(10):908-916. PubMed ID: 27406956
[TBL] [Abstract][Full Text] [Related]
18. Bio-net dataset: AI-based diagnostic solutions using peripheral blood smear images.
Shams UA; Javed I; Fizan M; Shah AR; Mustafa G; Zubair M; Massoud Y; Mehmood MQ; Naveed MA
Blood Cells Mol Dis; 2024 Mar; 105():102823. PubMed ID: 38241949
[TBL] [Abstract][Full Text] [Related]
19. Automated imaging, identification, and counting of similar cells from digital hologram reconstructions.
Mihailescu M; Scarlat M; Gheorghiu A; Costescu J; Kusko M; Paun IA; Scarlat E
Appl Opt; 2011 Jul; 50(20):3589-97. PubMed ID: 21743570
[TBL] [Abstract][Full Text] [Related]
20. Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks.
Shafique S; Tehsin S
Technol Cancer Res Treat; 2018 Jan; 17():1533033818802789. PubMed ID: 30261827
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
