75 related articles for article (PubMed ID: 25167547)
41. Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning.
Nguyen E; Cui Z; Kokaraki G; Carlson J; Liu Y
AMIA Annu Symp Proc; 2023; 2023():550-558. PubMed ID: 38222355
[TBL] [Abstract][Full Text] [Related]
42. Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.
Chen X; Pu X; Chen Z; Li L; Zhao KN; Liu H; Zhu H
Cancer Med; 2023 Apr; 12(7):8690-8699. PubMed ID: 36629131
[TBL] [Abstract][Full Text] [Related]
43. Computer-aided diagnosis of cervical dysplasia using colposcopic images.
Ma JH; You SF; Xue JS; Li XL; Chen YY; Hu Y; Feng Z
Front Oncol; 2022; 12():905623. PubMed ID: 35992807
[TBL] [Abstract][Full Text] [Related]
44. Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis.
Takahashi T; Matsuoka H; Sakurai R; Akatsuka J; Kobayashi Y; Nakamura M; Iwata T; Banno K; Matsuzaki M; Takayama J; Aoki D; Yamamoto Y; Tamiya G
J Gynecol Oncol; 2022 Sep; 33(5):e57. PubMed ID: 35712970
[TBL] [Abstract][Full Text] [Related]
45. Cervical Lesion Classification Method Based on Cross-Validation Decision Fusion Method of Vision Transformer and DenseNet.
Li P; Wang X; Liu P; Xu T; Sun P; Dong B; Xue H
J Healthc Eng; 2022; 2022():3241422. PubMed ID: 35607393
[TBL] [Abstract][Full Text] [Related]
46. Artificial Intelligence in Cervical Cancer Screening and Diagnosis.
Hou X; Shen G; Zhou L; Li Y; Wang T; Ma X
Front Oncol; 2022; 12():851367. PubMed ID: 35359358
[TBL] [Abstract][Full Text] [Related]
47. DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning.
Rambhatla S; Huang S; Trinh L; Zhang M; Long B; Dong M; Unadkat V; Yenikomshian HA; Gillenwater J; Liu Y
AMIA Annu Symp Proc; 2021; 2021():1039-1048. PubMed ID: 35308958
[TBL] [Abstract][Full Text] [Related]
48. 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]
49. Hybrid Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening.
Kudva V; Prasad K; Guruvare S
J Digit Imaging; 2020 Jun; 33(3):619-631. PubMed ID: 31848896
[TBL] [Abstract][Full Text] [Related]
50. A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification.
Conceição T; Braga C; Rosado L; Vasconcelos MJM
Int J Mol Sci; 2019 Oct; 20(20):. PubMed ID: 31618951
[TBL] [Abstract][Full Text] [Related]
51. An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.
Hu L; Bell D; Antani S; Xue Z; Yu K; Horning MP; Gachuhi N; Wilson B; Jaiswal MS; Befano B; Long LR; Herrero R; Einstein MH; Burk RD; Demarco M; Gage JC; Rodriguez AC; Wentzensen N; Schiffman M
J Natl Cancer Inst; 2019 Sep; 111(9):923-932. PubMed ID: 30629194
[TBL] [Abstract][Full Text] [Related]
52. Automatic Approach for Cervical Cancer Detection and Segmentation Using Neural Network Classifier.
P E; M S
Asian Pac J Cancer Prev; 2018 Dec; 19(12):3571-3580. PubMed ID: 30583685
[TBL] [Abstract][Full Text] [Related]
53. Image Registration based Cervical Cancer Detection and Segmentation Using ANFIS Classifier.
Jaya BK; Kumar SS
Asian Pac J Cancer Prev; 2018 Nov; 19(11):3203-3209. PubMed ID: 30486611
[TBL] [Abstract][Full Text] [Related]
54. Multifeature Quantification of Nuclear Properties from Images of H&E-Stained Biopsy Material for Investigating Changes in Nuclear Structure with Advancing CIN Grade.
Konstandinou C; Glotsos D; Kostopoulos S; Kalatzis I; Ravazoula P; Michail G; Lavdas E; Cavouras D; Sakellaropoulos G
J Healthc Eng; 2018; 2018():6358189. PubMed ID: 30073048
[TBL] [Abstract][Full Text] [Related]
55. Andriod Device-Based Cervical Cancer Screening for Resource-Poor Settings.
Kudva V; Prasad K; Guruvare S
J Digit Imaging; 2018 Oct; 31(5):646-654. PubMed ID: 29777323
[TBL] [Abstract][Full Text] [Related]
56. Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation.
Xu T; Zhang H; Xin C; Kim E; Long LR; Xue Z; Antani S; Huang X
Pattern Recognit; 2017 Mar; 63():468-475. PubMed ID: 28603299
[TBL] [Abstract][Full Text] [Related]
57. Multimodal entity coreference for cervical dysplasia diagnosis.
Song D; Kim E; Huang X; Patruno J; Munoz-Avila H; Heflin J; Long LR; Antani S
IEEE Trans Med Imaging; 2015 Jan; 34(1):229-45. PubMed ID: 25167547
[TBL] [Abstract][Full Text] [Related]
58. Cervicography: adjunctive cervical cancer screening by primary care clinicians.
Ferris DG; Payne P; Frisch LE; Milner FH; diPaola FM; Petry LJ
J Fam Pract; 1993 Aug; 37(2):158-64. PubMed ID: 8336097
[TBL] [Abstract][Full Text] [Related]
59. HPV testing in the evaluation of the minimally abnormal Papanicolaou smear.
Apgar BS; Brotzman G
Am Fam Physician; 1999 May; 59(10):2794-801. PubMed ID: 10348071
[TBL] [Abstract][Full Text] [Related]
60. Performance of p16INK4a-cytology, HPV mRNA, and HPV DNA testing to identify high grade cervical dysplasia in women with abnormal screening results.
Reuschenbach M; Clad A; von Knebel Doeberitz C; Wentzensen N; Rahmsdorf J; Schaffrath F; Griesser H; Freudenberg N; von Knebel Doeberitz M
Gynecol Oncol; 2010 Oct; 119(1):98-105. PubMed ID: 20619445
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
