These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

262 related articles for article (PubMed ID: 31536906)

  • 21. MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN.
    Jiang Y; Liang J; Cheng T; Lin X; Zhang Y; Dong J
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746372
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Vessel extraction in X-ray angiograms using deep learning.
    Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Ward K; Jafari MH; Felfeliyan B; Nallamothu B; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():643-646. PubMed ID: 28268410
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation.
    Zou B; Dai Y; He Q; Zhu C; Liu G; Su Y; Tang R
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2586-2597. PubMed ID: 32175869
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.
    Yan Z; Yang X; Cheng KT
    IEEE J Biomed Health Inform; 2019 Jul; 23(4):1427-1436. PubMed ID: 30281503
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm.
    Wei J; Zhu G; Fan Z; Liu J; Rong Y; Mo J; Li W; Chen X
    IEEE Trans Med Imaging; 2022 Feb; 41(2):292-307. PubMed ID: 34506278
    [TBL] [Abstract][Full Text] [Related]  

  • 26. CE-Net: Context Encoder Network for 2D Medical Image Segmentation.
    Gu Z; Cheng J; Fu H; Zhou K; Hao H; Zhao Y; Zhang T; Gao S; Liu J
    IEEE Trans Med Imaging; 2019 Oct; 38(10):2281-2292. PubMed ID: 30843824
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A size-invariant convolutional network with dense connectivity applied to retinal vessel segmentation measured by a unique index.
    Zhuo Z; Huang J; Lu K; Pan D; Feng S
    Comput Methods Programs Biomed; 2020 Nov; 196():105508. PubMed ID: 32563893
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation.
    Li R; Huang YJ; Chen H; Liu X; Yu Y; Qian D; Wang L
    IEEE J Biomed Health Inform; 2022 Mar; 26(3):1251-1262. PubMed ID: 34613925
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Retinal OCTA Image Segmentation Based on Global Contrastive Learning.
    Ma Z; Feng D; Wang J; Ma H
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560216
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction.
    Kassim YM; Maude RJ; Palaniappan K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2736-2739. PubMed ID: 30440967
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CGNet-assisted Automatic Vessel Segmentation for Optical Coherence Tomography Angiography.
    Yu X; Ge C; Aziz MZ; Li M; Shum PP; Liu L; Mo J
    J Biophotonics; 2022 Oct; 15(10):e202200067. PubMed ID: 35704010
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 33. DilUnet: A U-net based architecture for blood vessels segmentation.
    Hussain S; Guo F; Li W; Shen Z
    Comput Methods Programs Biomed; 2022 May; 218():106732. PubMed ID: 35279601
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A distance map regularized CNN for cardiac cine MR image segmentation.
    Dangi S; Linte CA; Yaniv Z
    Med Phys; 2019 Dec; 46(12):5637-5651. PubMed ID: 31598971
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Fast and efficient retinal blood vessel segmentation method based on deep learning network.
    Boudegga H; Elloumi Y; Akil M; Hedi Bedoui M; Kachouri R; Abdallah AB
    Comput Med Imaging Graph; 2021 Jun; 90():101902. PubMed ID: 33892389
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation.
    Jiang Y; Yao H; Tao S; Liang J
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577384
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks.
    Joonyoung Song ; Boreom Lee
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():681-684. PubMed ID: 29059964
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.
    Zhao G; Liang K; Pan C; Zhang F; Wu X; Hu X; Yu Y
    IEEE Trans Med Imaging; 2023 Jan; 42(1):183-195. PubMed ID: 36112564
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N; Gou S; Yang S; Cao M; Sheng K
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms.
    Cruz-Aceves I; Cervantes-Sanchez F; Avila-Garcia MS
    J Healthc Eng; 2018; 2018():5812059. PubMed ID: 29849999
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.