247 related articles for article (PubMed ID: 34403932)
1. A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening.
Cao L; Yang J; Rong Z; Li L; Xia B; You C; Lou G; Jiang L; Du C; Meng H; Wang W; Wang M; Li K; Hou Y
Med Image Anal; 2021 Oct; 73():102197. PubMed ID: 34403932
[TBL] [Abstract][Full Text] [Related]
2. Cervical cell classification with graph convolutional network.
Shi J; Wang R; Zheng Y; Jiang Z; Zhang H; Yu L
Comput Methods Programs Biomed; 2021 Jan; 198():105807. PubMed ID: 33130497
[TBL] [Abstract][Full Text] [Related]
3. 3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion.
Wang W; Tian Y; Xu Y; Zhang XX; Li YS; Zhao SF; Bai YH
BMC Med Imaging; 2022 Jul; 22(1):130. PubMed ID: 35870877
[TBL] [Abstract][Full Text] [Related]
4. SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection.
Zhang Z; Yao P; Chen M; Zeng L; Shao P; Shen S; X Xu R
IEEE J Biomed Health Inform; 2024 Mar; PP():. PubMed ID: 38470598
[TBL] [Abstract][Full Text] [Related]
5. LFANet: Lightweight feature attention network for abnormal cell segmentation in cervical cytology images.
Zhao Y; Fu C; Xu S; Cao L; Ma HF
Comput Biol Med; 2022 Jun; 145():105500. PubMed ID: 35421793
[TBL] [Abstract][Full Text] [Related]
6. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
7. Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Liu T; Guo Q; Lian C; Ren X; Liang S; Yu J; Niu L; Sun W; Shen D
Med Image Anal; 2019 Dec; 58():101555. PubMed ID: 31520984
[TBL] [Abstract][Full Text] [Related]
8. 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
Zhang Y; Li H; Du J; Qin J; Wang T; Chen Y; Liu B; Gao W; Ma G; Lei B
IEEE Trans Med Imaging; 2021 Jun; 40(6):1618-1631. PubMed ID: 33646948
[TBL] [Abstract][Full Text] [Related]
9. Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study.
Tan X; Li K; Zhang J; Wang W; Wu B; Wu J; Li X; Huang X
Cancer Cell Int; 2021 Jan; 21(1):35. PubMed ID: 33413391
[TBL] [Abstract][Full Text] [Related]
10. A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.
Hussain E; Mahanta LB; Das CR; Talukdar RK
Tissue Cell; 2020 Aug; 65():101347. PubMed ID: 32746984
[TBL] [Abstract][Full Text] [Related]
11. Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification.
Wang Q; Chen K; Dou W; Ma Y
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(4):2541-2554. PubMed ID: 37027657
[TBL] [Abstract][Full Text] [Related]
12. Multi-scale attention-based convolutional neural network for classification of breast masses in mammograms.
Niu J; Li H; Zhang C; Li D
Med Phys; 2021 Jul; 48(7):3878-3892. PubMed ID: 33982807
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Generative adversarial network based data augmentation to improve cervical cell classification model.
Yu S; Zhang S; Wang B; Dun H; Xu L; Huang X; Shi E; Feng X
Math Biosci Eng; 2021 Feb; 18(2):1740-1752. PubMed ID: 33757208
[TBL] [Abstract][Full Text] [Related]
15. Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images.
Lei H; Liu S; Elazab A; Gong X; Lei B
IEEE J Biomed Health Inform; 2021 Feb; 25(2):358-370. PubMed ID: 32991296
[TBL] [Abstract][Full Text] [Related]
16. Cervical cell multi-classification algorithm using global context information and attention mechanism.
Li J; Dou Q; Yang H; Liu J; Fu L; Zhang Y; Zheng L; Zhang D
Tissue Cell; 2022 Feb; 74():101677. PubMed ID: 34814053
[TBL] [Abstract][Full Text] [Related]
17. Computer assisted recognition of breast cancer in biopsy images via fusion of nucleus-guided deep convolutional features.
George K; Sankaran P; K PJ
Comput Methods Programs Biomed; 2020 Oct; 194():105531. PubMed ID: 32422473
[TBL] [Abstract][Full Text] [Related]
18. Enhancing cervical cancer detection and robust classification through a fusion of deep learning models.
Mathivanan SK; Francis D; Srinivasan S; Khatavkar V; P K; Shah MA
Sci Rep; 2024 May; 14(1):10812. PubMed ID: 38734714
[TBL] [Abstract][Full Text] [Related]
19. Global context-aware cervical cell detection with soft scale anchor matching.
Liang Y; Pan C; Sun W; Liu Q; Du Y
Comput Methods Programs Biomed; 2021 Jun; 204():106061. PubMed ID: 33819821
[TBL] [Abstract][Full Text] [Related]
20. AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features.
Huang P; Tan X; Chen C; Lv X; Li Y
Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375508
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
