BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

143 related articles for article (PubMed ID: 29994501)

  • 1. Segmentation of Retinal Cysts From Optical Coherence Tomography Volumes Via Selective Enhancement.
    Gopinath K; Sivaswamy J
    IEEE J Biomed Health Inform; 2019 Jan; 23(1):273-282. PubMed ID: 29994501
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.
    Girish GN; Thakur B; Chowdhury SR; Kothari AR; Rajan J
    IEEE J Biomed Health Inform; 2019 Jan; 23(1):296-304. PubMed ID: 29994161
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Depthwise Separable Convolutional Neural Network Model for Intra-Retinal Cyst Segmentation.
    Girish GN; Saikumar B; Roychowdhury S; Kothari AR; Rajan J
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2027-2031. PubMed ID: 31946299
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms.
    Rashno A; Koozekanani DD; Drayna PM; Nazari B; Sadri S; Rabbani H; Parhi KK
    IEEE Trans Biomed Eng; 2018 May; 65(5):989-1001. PubMed ID: 28783619
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
    Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
    Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
    [TBL] [Abstract][Full Text] [Related]  

  • 6. RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.
    Bogunovic H; Venhuizen F; Klimscha S; Apostolopoulos S; Bab-Hadiashar A; Bagci U; Beg MF; Bekalo L; Chen Q; Ciller C; Gopinath K; Gostar AK; Jeon K; Ji Z; Kang SH; Koozekanani DD; Lu D; Morley D; Parhi KK; Park HS; Rashno A; Sarunic M; Shaikh S; Sivaswamy J; Tennakoon R; Yadav S; De Zanet S; Waldstein SM; Gerendas BS; Klaver C; Sanchez CI; Schmidt-Erfurth U
    IEEE Trans Med Imaging; 2019 Aug; 38(8):1858-1874. PubMed ID: 30835214
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
    Chakravarty A; Sivaswamy J
    Comput Methods Programs Biomed; 2018 Oct; 165():235-250. PubMed ID: 30337078
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks.
    Rong Y; Xiang D; Zhu W; Yu K; Shi F; Fan Z; Chen X
    IEEE J Biomed Health Inform; 2019 Jan; 23(1):253-263. PubMed ID: 29994378
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans.
    Girish GN; Anima VA; Kothari AR; Sudeep PV; Roychowdhury S; Rajan J
    Comput Methods Programs Biomed; 2018 Jan; 153():105-114. PubMed ID: 29157443
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.
    Liu X; Fu T; Pan Z; Liu D; Hu W; Liu J; Zhang K
    IEEE J Biomed Health Inform; 2019 Jul; 23(4):1404-1416. PubMed ID: 30010602
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic detection of retinal regions using fully convolutional networks for diagnosis of abnormal maculae in optical coherence tomography images.
    Sun Z; Sun Y
    J Biomed Opt; 2019 May; 24(5):1-9. PubMed ID: 31111697
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification.
    Fang L; Wang C; Li S; Rabbani H; Chen X; Liu Z
    IEEE Trans Med Imaging; 2019 Aug; 38(8):1959-1970. PubMed ID: 30763240
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier.
    Rasti R; Mehridehnavi A; Rabbani H; Hajizadeh F
    J Biomed Opt; 2018 Mar; 23(3):1-10. PubMed ID: 29564864
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Intra-retinal layer segmentation in optical coherence tomography images.
    Mishra A; Wong A; Bizheva K; Clausi DA
    Opt Express; 2009 Dec; 17(26):23719-28. PubMed ID: 20052083
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Review of Machine Learning Algorithms for Retinal Cyst Segmentation on Optical Coherence Tomography.
    Wei X; Sui R
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991857
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.
    Schlegl T; Waldstein SM; Vogl WD; Schmidt-Erfurth U; Langs G
    Inf Process Med Imaging; 2015; 24():437-48. PubMed ID: 26221693
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fully automated detection of retinal disorders by image-based deep learning.
    Li F; Chen H; Liu Z; Zhang X; Wu Z
    Graefes Arch Clin Exp Ophthalmol; 2019 Mar; 257(3):495-505. PubMed ID: 30610422
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Linear-regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography.
    Yong YL; Tan LK; McLaughlin RA; Chee KH; Liew YM
    J Biomed Opt; 2017 Dec; 22(12):1-9. PubMed ID: 29274144
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
    Lu D; Heisler M; Lee S; Ding GW; Navajas E; Sarunic MV; Beg MF
    Med Image Anal; 2019 May; 54():100-110. PubMed ID: 30856455
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Vessel Shade-Robust Segmentation of Retinal Layers in OCT Images.
    González-López A; Ortega M; Penedo MG; Charlón P
    Stud Health Technol Inform; 2014; 207():47-54. PubMed ID: 25488210
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.