BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

296 related articles for article (PubMed ID: 30055530)

  • 1. 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]  

  • 2. 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]  

  • 3. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
    Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
    Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B; Xing L
    Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
    Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
    Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pattern Classification of Images from Acetic Acid-Based Cervical Cancer Screening: A Review.
    Kudva V; Prasad K
    Crit Rev Biomed Eng; 2018; 46(2):117-133. PubMed ID: 30055529
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
    Le MH; Chen J; Wang L; Wang Z; Liu W; Cheng KT; Yang X
    Phys Med Biol; 2017 Jul; 62(16):6497-6514. PubMed ID: 28582269
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
    Liu M; Cheng D; Wang K; Wang Y;
    Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
    Zhang L; Le Lu ; Nogues I; Summers RM; Liu S; Yao J
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1633-1643. PubMed ID: 28541229
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
    Kumar A; Kim J; Lyndon D; Fulham M; Feng D
    IEEE J Biomed Health Inform; 2017 Jan; 21(1):31-40. PubMed ID: 28114041
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope.
    Asiedu MN; Simhal A; Chaudhary U; Mueller JL; Lam CT; Schmitt JW; Venegas G; Sapiro G; Ramanujam N
    IEEE Trans Biomed Eng; 2019 Aug; 66(8):2306-2318. PubMed ID: 30575526
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Automated reference-free detection of motion artifacts in magnetic resonance images.
    Küstner T; Liebgott A; Mauch L; Martirosian P; Bamberg F; Nikolaou K; Yang B; Schick F; Gatidis S
    MAGMA; 2018 Apr; 31(2):243-256. PubMed ID: 28932991
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Acetowhite region segmentation in uterine cervix images using a registered ratio image.
    Liu J; Li L; Wang L
    Comput Biol Med; 2018 Feb; 93():47-55. PubMed ID: 29275099
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Classifying cervical cells using a recurrent neural network by building basins of attraction.
    Brouwer RK; MacAuley C
    Anal Quant Cytol Histol; 1995 Jun; 17(3):197-203. PubMed ID: 7546054
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 15.