145 related articles for article (PubMed ID: 33413391)
1. 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]
2. Artificial classification of cervical squamous lesions in ThinPrep cytologic tests using a deep convolutional neural network.
Liu L; Wang Y; Ma Q; Tan L; Wu Y; Xiao J
Oncol Lett; 2020 Oct; 20(4):113. PubMed ID: 32863926
[TBL] [Abstract][Full Text] [Related]
3. Deep convolutional neural networks using an active learning strategy for cervical cancer screening and diagnosis.
Li X; Du M; Zuo S; Zhou M; Peng Q; Chen Z; Zhou J; He Q
Front Bioinform; 2023; 3():1101667. PubMed ID: 36969799
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.
Li X; Zhang S; Zhang Q; Wei X; Pan Y; Zhao J; Xin X; Qin C; Wang X; Li J; Yang F; Zhao Y; Yang M; Wang Q; Zheng Z; Zheng X; Yang X; Whitlow CT; Gurcan MN; Zhang L; Wang X; Pasche BC; Gao M; Zhang W; Chen K
Lancet Oncol; 2019 Feb; 20(2):193-201. PubMed ID: 30583848
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence and high-resolution anoscopy: automatic identification of anal squamous cell carcinoma precursors using a convolutional neural network.
Saraiva MM; Spindler L; Fathallah N; Beaussier H; Mamma C; Quesnée M; Ribeiro T; Afonso J; Carvalho M; Moura R; Andrade P; Cardoso H; Adam J; Ferreira J; Macedo G; de Parades V
Tech Coloproctol; 2022 Nov; 26(11):893-900. PubMed ID: 35986806
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
8. An efficient method that combines the ThinPrep cytologic test with E6/E7 mRNA testing for cervical cancer screening.
Pan D; Zhang CQ; Liang QL; Hong XC
Cancer Manag Res; 2019; 11():4773-4780. PubMed ID: 31213899
[No Abstract] [Full Text] [Related]
9. [Clinical analysis of cervical intraepithelial lesion in postmenopausal women].
Zhang X; Guan XJ; Li JQ; Zhang LH; Yang JH
Zhonghua Fu Chan Ke Za Zhi; 2018 Oct; 53(10):705-710. PubMed ID: 30369128
[No Abstract] [Full Text] [Related]
10. Computer-aided diagnostic system based on deep learning for classifying colposcopy images.
Liu L; Wang Y; Liu X; Han S; Jia L; Meng L; Yang Z; Chen W; Zhang Y; Qiao X
Ann Transl Med; 2021 Jul; 9(13):1045. PubMed ID: 34422957
[TBL] [Abstract][Full Text] [Related]
11. Performance of A Convolutional Neural Network in Screening Liquid Based Cervical Cytology Smears.
Sanyal P; Barui S; Deb P; Sharma HC
J Cytol; 2019; 36(3):146-151. PubMed ID: 31359913
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue.
Ma Y; Xu T; Huang X; Wang X; Li C; Jerwick J; Ning Y; Zeng X; Wang B; Wang Y; Zhang Z; Zhang X; Zhou C
IEEE Trans Biomed Eng; 2019 Sep; 66(9):2447-2456. PubMed ID: 30605087
[TBL] [Abstract][Full Text] [Related]
14. [Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].
Xu JH; Zhou XM; Ma JL; Liu SS; Zhang MS; Zheng XF; Zhang XY; Liu GW; Zhang XX; Lu Y; Wang DS
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):572-577. PubMed ID: 32521977
[No Abstract] [Full Text] [Related]
15. 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]
16. Cytology and high risk HPV testing in cervical cancer screening program: Outcome of 3-year follow-up in an academic institute.
Yang J; Nolte FS; Chajewski OS; Lindsey KG; Houser PM; Pellicier J; Wang Q; Ehsani L
Diagn Cytopathol; 2018 Jan; 46(1):22-27. PubMed ID: 29048733
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Managing atypical squamous cells of undetermined significance (ASCUS): human papillomavirus testing, ASCUS subtyping,or follow-up cytology?
Hughes SA; Sun D; Gibson C; Bellerose B; Rushing L; Chen H; Harlow BL; Genest DR; Sheets EE; Crum CP
Am J Obstet Gynecol; 2002 Mar; 186(3):396-403. PubMed ID: 11904597
[TBL] [Abstract][Full Text] [Related]
19. [Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].
Yang SJ; Lu Y; Zheng XF; Zhang YJ; Xin FJ; Sun P; Li Y; Liu SS; Li S; Guo YT; Liu SL
Zhonghua Wai Ke Za Zhi; 2020 Jul; 58(7):520-524. PubMed ID: 32610422
[No Abstract] [Full Text] [Related]
20. Cervical specimens collected in liquid buffer are suitable for both cytologic screening and ancillary human papillomavirus testing.
Sherman ME; Schiffman MH; Lorincz AT; Herrero R; Hutchinson ML; Bratti C; Zahniser D; Morales J; Hildesheim A; Helgesen K; Kelly D; Alfaro M; Mena F; Balmaceda I; Mango L; Greenberg M
Cancer; 1997 Apr; 81(2):89-97. PubMed ID: 9126136
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
