201 related articles for article (PubMed ID: 34471407)
1. Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model.
Jiang Z; Dong Z; Wang L; Jiang W
Comput Intell Neurosci; 2021; 2021():7529893. PubMed ID: 34471407
[TBL] [Abstract][Full Text] [Related]
2. An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification.
Huang ML; Huang ZB
Math Biosci Eng; 2024 Jan; 21(2):1959-1978. PubMed ID: 38454670
[TBL] [Abstract][Full Text] [Related]
3. BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images.
Atteia G; Alhussan AA; Samee NA
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898023
[TBL] [Abstract][Full Text] [Related]
4. Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.
Zhou G; Mosadegh B
Acad Radiol; 2024 Jan; 31(1):104-120. PubMed ID: 37666747
[TBL] [Abstract][Full Text] [Related]
5. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images.
Qu X; Lu H; Tang W; Wang S; Zheng D; Hou Y; Jiang J
Med Phys; 2022 Sep; 49(9):5787-5798. PubMed ID: 35866492
[TBL] [Abstract][Full Text] [Related]
6. Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer.
Lee CP; Lim KM; Song YX; Alqahtani A
Plants (Basel); 2023 Jul; 12(14):. PubMed ID: 37514256
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. SDCT-AuxNet
Gehlot S; Gupta A; Gupta R
Med Image Anal; 2020 Apr; 61():101661. PubMed ID: 32066066
[TBL] [Abstract][Full Text] [Related]
10. HyFormer: Hybrid Transformer and CNN for Pixel-Level Multispectral Image Land Cover Classification.
Yan C; Fan X; Fan J; Yu L; Wang N; Chen L; Li X
Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833777
[TBL] [Abstract][Full Text] [Related]
11. Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.
Rodrigues LF; Backes AR; Travençolo BAN; de Oliveira GMB
J Digit Imaging; 2022 Jun; 35(3):623-637. PubMed ID: 35199257
[TBL] [Abstract][Full Text] [Related]
12. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
13. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
[TBL] [Abstract][Full Text] [Related]
14. Squeeze-and-excitation-attention-based mobile vision transformer for grading recognition of bladder prolapse in pelvic MRI images.
Zhu S; Chen G; Chen H; Lu Y; Wu M; Zheng B; Liu D; Qian C; Chen Y
Med Phys; 2024 May; ():. PubMed ID: 38767532
[TBL] [Abstract][Full Text] [Related]
15. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
16. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
Tang P; Liang Q; Yan X; Xiang S; Zhang D
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
[TBL] [Abstract][Full Text] [Related]
17. RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers.
Ibrahem H; Salem A; Kang HS
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632271
[TBL] [Abstract][Full Text] [Related]
18. ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images.
Al-Hejri AM; Al-Tam RM; Fazea M; Sable AH; Lee S; Al-Antari MA
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611382
[TBL] [Abstract][Full Text] [Related]
19. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839
[TBL] [Abstract][Full Text] [Related]
20. A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss.
Nie Y; Sommella P; Carratù M; O'Nils M; Lundgren J
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611363
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]