127 related articles for article (PubMed ID: 37740765)
1. Automated bone marrow cell classification through dual attention gates dense neural networks.
Peng K; Peng Y; Liao H; Yang Z; Feng W
J Cancer Res Clin Oncol; 2023 Dec; 149(19):16971-16981. PubMed ID: 37740765
[TBL] [Abstract][Full Text] [Related]
2. 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 Jul; 87(7):1615-1626. PubMed ID: 38445461
[TBL] [Abstract][Full Text] [Related]
3. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.
Hazra D; Byun YC; Kim WJ
Comput Methods Programs Biomed; 2022 Sep; 224():107019. PubMed ID: 35878483
[TBL] [Abstract][Full Text] [Related]
4. AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network: A STARD compliant diagnosis research.
Huang F; Guang P; Li F; Liu X; Zhang W; Huang W
Medicine (Baltimore); 2020 Nov; 99(45):e23154. PubMed ID: 33157999
[TBL] [Abstract][Full Text] [Related]
5. Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set.
Matek C; Krappe S; Münzenmayer C; Haferlach T; Marr C
Blood; 2021 Nov; 138(20):1917-1927. PubMed ID: 34792573
[TBL] [Abstract][Full Text] [Related]
6. Diagnosing acute promyelocytic leukemia by using convolutional neural network.
Ouyang N; Wang W; Ma L; Wang Y; Chen Q; Yang S; Xie J; Su S; Cheng Y; Cheng Q; Zheng L; Yuan Y
Clin Chim Acta; 2021 Jan; 512():1-6. PubMed ID: 33159948
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Recognition of peripheral blood cell images using convolutional neural networks.
Acevedo A; Alférez S; Merino A; Puigví L; Rodellar J
Comput Methods Programs Biomed; 2019 Oct; 180():105020. PubMed ID: 31425939
[TBL] [Abstract][Full Text] [Related]
9. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
[TBL] [Abstract][Full Text] [Related]
10. Translating medical image to radiological report: Adaptive multilevel multi-attention approach.
Gajbhiye GO; Nandedkar AV; Faye I
Comput Methods Programs Biomed; 2022 Jun; 221():106853. PubMed ID: 35561439
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of deep learning training strategies for the classification of bone marrow cell images.
Glüge S; Balabanov S; Koelzer VH; Ott T
Comput Methods Programs Biomed; 2024 Jan; 243():107924. PubMed ID: 37979517
[TBL] [Abstract][Full Text] [Related]
12. Classification of breast density categories based on SE-Attention neural networks.
Deng J; Ma Y; Li DA; Zhao J; Liu Y; Zhang H
Comput Methods Programs Biomed; 2020 Sep; 193():105489. PubMed ID: 32434061
[TBL] [Abstract][Full Text] [Related]
13. Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence.
Fu X; Fu M; Li Q; Peng X; Lu J; Fang F; Chen M
Acta Cytol; 2020; 64(6):588-596. PubMed ID: 32721953
[TBL] [Abstract][Full Text] [Related]
14. An AI-Aided Diagnostic Framework for Hematologic Neoplasms Based on Morphologic Features and Medical Expertise.
Li N; Fan L; Xu H; Zhang X; Bai Z; Li M; Xiong S; Jiang L; Yang J; Chen S; Qiao Y; Chen B
Lab Invest; 2023 Apr; 103(4):100055. PubMed ID: 36870286
[TBL] [Abstract][Full Text] [Related]
15. HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
Islam MS; Hasan KF; Sultana S; Uddin S; Lio' P; Quinn JMW; Moni MA
Neural Netw; 2023 May; 162():271-287. PubMed ID: 36921434
[TBL] [Abstract][Full Text] [Related]
16. Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism.
Sun Y; Zhang H; Yao X
J Biomed Opt; 2020 Sep; 25(9):. PubMed ID: 32940026
[TBL] [Abstract][Full Text] [Related]
17. Multiclass classification of whole-body scintigraphic images using a self-defined convolutional neural network with attention modules.
Lin Q; Cao C; Li T; Cao Y; Man Z; Wang H
Med Phys; 2021 Oct; 48(10):5782-5793. PubMed ID: 34455613
[TBL] [Abstract][Full Text] [Related]
18. IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.
Bibi N; Sikandar M; Ud Din I; Almogren A; Ali S
J Healthc Eng; 2020; 2020():6648574. PubMed ID: 33343851
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence-assisted diagnosis of hematologic diseases based on bone marrow smears using deep neural networks.
Wang W; Luo M; Guo P; Wei Y; Tan Y; Shi H
Comput Methods Programs Biomed; 2023 Apr; 231():107343. PubMed ID: 36821974
[TBL] [Abstract][Full Text] [Related]
20. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.
Dabass M; Vashisth S; Vig R
Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]