BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

2158 related articles for article (PubMed ID: 30032964)

  • 1. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
    Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
    Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
    Al-Antari MA; Al-Masni MA; Kim TS
    Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
    Al-Masni MA; Al-Antari MA; Park JM; Gi G; Kim TY; Rivera P; Valarezo E; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Apr; 157():85-94. PubMed ID: 29477437
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.
    Al-Antari MA; Han SM; Kim TS
    Comput Methods Programs Biomed; 2020 Nov; 196():105584. PubMed ID: 32554139
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network.
    Al-Masni MA; Al-Antari MA; Park JM; Gi G; Kim TY; Rivera P; Valarezo E; Han SM; Kim TS
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1230-1233. PubMed ID: 29060098
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Convolutional Neural Networks for breast cancer screening.
    Chougrad H; Zouaki H; Alheyane O
    Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
    Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
    Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
    [TBL] [Abstract][Full Text] [Related]  

  • 8. YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms.
    Aly GH; Marey M; El-Sayed SA; Tolba MF
    Comput Methods Programs Biomed; 2021 Mar; 200():105823. PubMed ID: 33190942
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
    Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.
    Qiu Y; Yan S; Gundreddy RR; Wang Y; Cheng S; Liu H; Zheng B
    J Xray Sci Technol; 2017; 25(5):751-763. PubMed ID: 28436410
    [TBL] [Abstract][Full Text] [Related]  

  • 11. YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.
    Su Y; Liu Q; Xie W; Hu P
    Comput Methods Programs Biomed; 2022 Jun; 221():106903. PubMed ID: 35636358
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A deep learning approach for the analysis of masses in mammograms with minimal user intervention.
    Dhungel N; Carneiro G; Bradley AP
    Med Image Anal; 2017 Apr; 37():114-128. PubMed ID: 28171807
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
    Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; Corrêa Silva A; de Paiva AC; Gattass M
    Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Convolutional neural network for automated mass segmentation in mammography.
    Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
    BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
    Al-Masni MA; Kim DH; Kim TS
    Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms.
    Danala G; Patel B; Aghaei F; Heidari M; Li J; Wu T; Zheng B
    Ann Biomed Eng; 2018 Sep; 46(9):1419-1431. PubMed ID: 29748869
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network.
    Rahman H; Naik Bukht TF; Ahmad R; Almadhor A; Javed AR
    Comput Intell Neurosci; 2023; 2023():7717712. PubMed ID: 36909966
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting and classifying lesions in mammograms with Deep Learning.
    Ribli D; Horváth A; Unger Z; Pollner P; Csabai I
    Sci Rep; 2018 Mar; 8(1):4165. PubMed ID: 29545529
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fully Automated Breast Density Segmentation and Classification Using Deep Learning.
    Saffari N; Rashwan HA; Abdel-Nasser M; Kumar Singh V; Arenas M; Mangina E; Herrera B; Puig D
    Diagnostics (Basel); 2020 Nov; 10(11):. PubMed ID: 33238512
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques.
    Baccouche A; Garcia-Zapirain B; Zheng Y; Elmaghraby AS
    Comput Methods Programs Biomed; 2022 Jun; 221():106884. PubMed ID: 35594582
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 108.