250 related articles for article (PubMed ID: 31448390)
1. Multiscale Time-Sharing Elastography Algorithms and Transfer Learning of Clinicopathological Features of Uterine Cervical Cancer for Medical Intelligent Computing System.
Dong X; Du H; Guan H; Zhang X
J Med Syst; 2019 Aug; 43(10):310. PubMed ID: 31448390
[TBL] [Abstract][Full Text] [Related]
2. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W; Ware A; Basaza-Ejiri AH; Obungoloch J
Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
3. Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor.
Liang P; Sun G; Wei S
J Med Syst; 2019 Apr; 43(6):156. PubMed ID: 31028491
[TBL] [Abstract][Full Text] [Related]
4. Ultrasound Elastography under Deep Learning Algorithm to Analyze the Therapeutic Effect of Clustered Regularly Interspaced Short Palindromic Repeats Short Hairpin Ribonucleic Acid Nanoparticles on Cervical Cancer.
Li M; Li W; Zhao L
J Healthc Eng; 2021; 2021():7538984. PubMed ID: 34880980
[TBL] [Abstract][Full Text] [Related]
5. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
[TBL] [Abstract][Full Text] [Related]
6. Cervical Cancer Detection and Diagnosis Based on Saliency Single Shot MultiBox Detector in Ultrasonic Elastography.
Wei S; Dai P; Wang Z
J Med Syst; 2019 Jun; 43(8):250. PubMed ID: 31250121
[TBL] [Abstract][Full Text] [Related]
7. An automated cervical pre-cancerous diagnostic system.
Mat-Isa NA; Mashor MY; Othman NH
Artif Intell Med; 2008 Jan; 42(1):1-11. PubMed ID: 17996432
[TBL] [Abstract][Full Text] [Related]
8. Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm.
Zhang L; Zhu Y; Song Y; Han Y; Sun D; Qin S; Gao Y
Comput Math Methods Med; 2021; 2021():7690902. PubMed ID: 34812270
[TBL] [Abstract][Full Text] [Related]
9. Ultrasound elastography in the differential diagnosis of benign and malignant cervical lesions.
Lu R; Xiao Y; Liu M; Shi D
J Ultrasound Med; 2014 Apr; 33(4):667-71. PubMed ID: 24658946
[TBL] [Abstract][Full Text] [Related]
10. Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images.
Chandran V; Sumithra MG; Karthick A; George T; Deivakani M; Elakkiya B; Subramaniam U; Manoharan S
Biomed Res Int; 2021; 2021():5584004. PubMed ID: 33997017
[TBL] [Abstract][Full Text] [Related]
11. Multiple adaptive neuro-fuzzy inference system with automatic features extraction algorithm for cervical cancer recognition.
Al-batah MS; Isa NA; Klaib MF; Al-Betar MA
Comput Math Methods Med; 2014; 2014():181245. PubMed ID: 24707316
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Automatic screening of cervical cells using block image processing.
Zhao M; Wu A; Song J; Sun X; Dong N
Biomed Eng Online; 2016 Feb; 15():14. PubMed ID: 26847685
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Parallel multiple instance learning for extremely large histopathology image analysis.
Xu Y; Li Y; Shen Z; Wu Z; Gao T; Fan Y; Lai M; Chang EI
BMC Bioinformatics; 2017 Aug; 18(1):360. PubMed ID: 28774262
[TBL] [Abstract][Full Text] [Related]
17. Feature quantification and abnormal detection on cervical squamous epithelial cells.
Zhao M; Chen L; Bian L; Zhang J; Yao C; Zhang J
Comput Math Methods Med; 2015; 2015():941680. PubMed ID: 25873991
[TBL] [Abstract][Full Text] [Related]
18. Intelligent screening systems for cervical cancer.
Jusman Y; Ng SC; Abu Osman NA
ScientificWorldJournal; 2014; 2014():810368. PubMed ID: 24955419
[TBL] [Abstract][Full Text] [Related]
19. Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework.
Bergmeir C; García Silvente M; Benítez JM
Comput Methods Programs Biomed; 2012 Sep; 107(3):497-512. PubMed ID: 22306072
[TBL] [Abstract][Full Text] [Related]
20. Recognition and Clinical Diagnosis of Cervical Cancer Cells Based on our Improved Lightweight Deep Network for Pathological Image.
Wang H; Jiang C; Bao K; Xu C
J Med Syst; 2019 Aug; 43(9):301. PubMed ID: 31372766
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
