122 related articles for article (PubMed ID: 32706747)
1. Sparse-FCM and Deep Convolutional Neural Network for the segmentation and classification of acute lymphoblastic leukaemia.
Praveena S; Singh SP
Biomed Tech (Berl); 2020 Jul; ():. PubMed ID: 32706747
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Adaptive fuzzy deformable fusion and optimized CNN with ensemble classification for automated brain tumor diagnosis.
Murthy MYB; Koteswararao A; Babu MS
Biomed Eng Lett; 2022 Feb; 12(1):37-58. PubMed ID: 35186359
[TBL] [Abstract][Full Text] [Related]
6. Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification.
El-Kenawy EM; Mirjalili S; Ibrahim A; Alrahmawy M; El-Said M; Zaki RM; Eid MM
IEEE Access; 2021; 9():36019-36037. PubMed ID: 34812381
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
[TBL] [Abstract][Full Text] [Related]
10. A robust grey wolf-based deep learning for brain tumour detection in MR images.
Geetha A; Gomathi N
Biomed Tech (Berl); 2020 Apr; 65(2):191-207. PubMed ID: 31665106
[TBL] [Abstract][Full Text] [Related]
11. Automatic classification of acute lymphoblastic leukemia cells and lymphocyte subtypes based on a novel convolutional neural network.
MoradiAmin M; Yousefpour M; Samadzadehaghdam N; Ghahari L; Ghorbani M; Mafi M
Microsc Res Tech; 2024 Mar; ():. PubMed ID: 38445461
[TBL] [Abstract][Full Text] [Related]
12. Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm.
Jasim M; Brindha T
Biomed Tech (Berl); 2021 Jun; 66(3):293-304. PubMed ID: 34062633
[TBL] [Abstract][Full Text] [Related]
13. Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm.
Mohammdian-Khoshnoud M; Soltanian AR; Dehghan A; Farhadian M
BMC Mol Cell Biol; 2022 Feb; 23(1):9. PubMed ID: 35168562
[TBL] [Abstract][Full Text] [Related]
14. An efficient breast cancer classification model using bilateral filtering and fuzzy convolutional neural network.
Hayum AA; Jaya J; Sivakumar R; Paulchamy B
Sci Rep; 2024 Mar; 14(1):6290. PubMed ID: 38491186
[TBL] [Abstract][Full Text] [Related]
15. SegNet and Salp Water Optimization-driven Deep Belief Network for Segmentation and Classification of Brain Tumor.
Bidkar PS; Kumar R; Ghosh A
Gene Expr Patterns; 2022 Sep; 45():119248. PubMed ID: 35667619
[TBL] [Abstract][Full Text] [Related]
16. Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques.
Abunadi I; Senan EM
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214531
[TBL] [Abstract][Full Text] [Related]
17. A Framework for Interactive Medical Image Segmentation Using Optimized Swarm Intelligence with Convolutional Neural Networks.
Kaushal C; Islam MK; Althubiti SA; Alenezi F; Mansour RF
Comput Intell Neurosci; 2022; 2022():7935346. PubMed ID: 36059415
[TBL] [Abstract][Full Text] [Related]
18. Brain tissue segmentation using fuzzy clustering techniques.
Sucharitha M; Geetha KP
Technol Health Care; 2015; 23(5):571-80. PubMed ID: 26410118
[TBL] [Abstract][Full Text] [Related]
19. Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis.
Das A
Multimed Tools Appl; 2022; 81(4):5407-5441. PubMed ID: 34955679
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
