218 related articles for article (PubMed ID: 33997017)
21. The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence.
Xue P; Ng MTA; Qiao Y
BMC Med; 2020 Jun; 18(1):169. PubMed ID: 32493320
[TBL] [Abstract][Full Text] [Related]
22. Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions.
Sambyal D; Sarwar A
Micron; 2023 Oct; 173():103520. PubMed ID: 37556898
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.
Bao H; Bi H; Zhang X; Zhao Y; Dong Y; Luo X; Zhou D; You Z; Wu Y; Liu Z; Zhang Y; Liu J; Fang L; Wang L
Gynecol Oncol; 2020 Oct; 159(1):171-178. PubMed ID: 32814641
[TBL] [Abstract][Full Text] [Related]
25. Classification of cervical neoplasms on colposcopic photography using deep learning.
Cho BJ; Choi YJ; Lee MJ; Kim JH; Son GH; Park SH; Kim HB; Joo YJ; Cho HY; Kyung MS; Park YH; Kang BS; Hur SY; Lee S; Park ST
Sci Rep; 2020 Aug; 10(1):13652. PubMed ID: 32788635
[TBL] [Abstract][Full Text] [Related]
26. RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model.
Kim YJ; Ju W; Nam KH; Kim SN; Kim YJ; Kim KG
Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591254
[TBL] [Abstract][Full Text] [Related]
27. Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.
Kudva V; Prasad K; Guruvare S
Crit Rev Biomed Eng; 2018; 46(2):135-145. PubMed ID: 30055530
[TBL] [Abstract][Full Text] [Related]
28. Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models.
Hameed Z; Zahia S; Garcia-Zapirain B; Javier Aguirre J; María Vanegas A
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32764398
[TBL] [Abstract][Full Text] [Related]
29. Automatic classification of cervical cancer from cytological images by using convolutional neural network.
Wu M; Yan C; Liu H; Liu Q; Yin Y
Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341239
[TBL] [Abstract][Full Text] [Related]
30. Chronic Cervicitis and Cervical Cancer Detection Based on Deep Learning of Colposcopy Images Toward Translational Pharmacology.
Huang W; Sun S; Yu Z; Lu S; Feng H
Front Pharmacol; 2022; 13():911962. PubMed ID: 35712722
[TBL] [Abstract][Full Text] [Related]
31. [A study of cervical cancer screening algorithms].
Zhao FH; Zhang WH; Pan QJ; Zhang X; Chen W; Liu B; Ma JF; Hu SY; Qiao YL
Zhonghua Zhong Liu Za Zhi; 2010 Jun; 32(6):420-4. PubMed ID: 20819481
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.
Jeyaraj PR; Samuel Nadar ER
J Cancer Res Clin Oncol; 2019 Apr; 145(4):829-837. PubMed ID: 30603908
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. [Health technology assessment report: Computer-assisted Pap test for cervical cancer screening].
Della Palma P; Moresco L; Giorgi Rossi P
Epidemiol Prev; 2012; 36(5 Suppl 3):e1-43. PubMed ID: 23139174
[TBL] [Abstract][Full Text] [Related]
36. A prospective study of risk-based colposcopy demonstrates improved detection of cervical precancers.
Wentzensen N; Walker J; Smith K; Gold MA; Zuna R; Massad LS; Liu A; Silver MI; Dunn ST; Schiffman M
Am J Obstet Gynecol; 2018 Jun; 218(6):604.e1-604.e8. PubMed ID: 29462629
[TBL] [Abstract][Full Text] [Related]
37. Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer.
Hamdi M; Senan EM; Awaji B; Olayah F; Jadhav ME; Alalayah KM
Diagnostics (Basel); 2023 Jul; 13(15):. PubMed ID: 37568901
[TBL] [Abstract][Full Text] [Related]
38. Deep Neural Networks for Dental Implant System Classification.
Sukegawa S; Yoshii K; Hara T; Yamashita K; Nakano K; Yamamoto N; Nagatsuka H; Furuki Y
Biomolecules; 2020 Jul; 10(7):. PubMed ID: 32630195
[TBL] [Abstract][Full Text] [Related]
39. Transfer learning supported accurate assessment of multiclass cervix type images.
Natarajan T; Devan L
Proc Inst Mech Eng H; 2023 Feb; 237(2):265-281. PubMed ID: 36562520
[TBL] [Abstract][Full Text] [Related]
40. Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists.
Urushibara A; Saida T; Mori K; Ishiguro T; Sakai M; Masuoka S; Satoh T; Masumoto T
Eur J Radiol; 2021 Feb; 135():109471. PubMed ID: 33338759
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]