BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 37504817)

  • 1. Conv-ViT: A Convolution and Vision Transformer-Based Hybrid Feature Extraction Method for Retinal Disease Detection.
    Dutta P; Sathi KA; Hossain MA; Dewan MAA
    J Imaging; 2023 Jul; 9(7):. PubMed ID: 37504817
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study.
    Akça S; Garip Z; Ekinci E; Atban F
    Lasers Med Sci; 2024 May; 39(1):140. PubMed ID: 38797751
    [TBL] [Abstract][Full Text] [Related]  

  • 3. HTC-retina: A hybrid retinal diseases classification model using transformer-Convolutional Neural Network from optical coherence tomography images.
    Laouarem A; Kara-Mohamed C; Bourennane EB; Hamdi-Cherif A
    Comput Biol Med; 2024 Jun; 178():108726. PubMed ID: 38878400
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of the proposed DCNN model with standard CNN architectures for retinal diseases classification.
    Mohan R; Ganapathy K; Arunmozhi R
    J Popul Ther Clin Pharmacol; 2022; 29(3):e112-e122. PubMed ID: 36196946
    [TBL] [Abstract][Full Text] [Related]  

  • 5. HCTNet: A Hybrid ConvNet-Transformer Network for Retinal Optical Coherence Tomography Image Classification.
    Ma Z; Xie Q; Xie P; Fan F; Gao X; Zhu J
    Biosensors (Basel); 2022 Jul; 12(7):. PubMed ID: 35884345
    [TBL] [Abstract][Full Text] [Related]  

  • 6. OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images.
    A P S; Kar S; S G; Gopi VP; Palanisamy P
    Comput Methods Programs Biomed; 2021 Mar; 200():105877. PubMed ID: 33339630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification.
    Ait Hammou B; Antaki F; Boucher MC; Duval R
    Int J Med Inform; 2023 Oct; 178():105178. PubMed ID: 37657204
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Glaucoma detection in Latino population through OCT's RNFL thickness map using transfer learning.
    Olivas LG; Alférez GH; Castillo J
    Int Ophthalmol; 2021 Nov; 41(11):3727-3741. PubMed ID: 34212255
    [TBL] [Abstract][Full Text] [Related]  

  • 9. FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network.
    Ai Z; Huang X; Feng J; Wang H; Tao Y; Zeng F; Lu Y
    Front Neuroinform; 2022; 16():876927. PubMed ID: 35784186
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Artificial intelligence method based on multi-feature fusion for automatic macular edema (ME) classification on spectral-domain optical coherence tomography (SD-OCT) images.
    Gan F; Wu FP; Zhong YL
    Front Neurosci; 2023; 17():1097291. PubMed ID: 36793539
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictive, preventive, and personalized management of retinal fluid via computer-aided detection app for optical coherence tomography scans.
    Quek TC; Takahashi K; Kang HG; Thakur S; Deshmukh M; Tseng RMWW; Nguyen H; Tham YC; Rim TH; Kim SS; Yanagi Y; Liew G; Cheng CY
    EPMA J; 2022 Dec; 13(4):547-560. PubMed ID: 36505893
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification.
    Arefin R; Samad MD; Akyelken FA; Davanian A
    IEEE Int Conf Healthc Inform; 2021 Aug; 2021():48-52. PubMed ID: 36168324
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Deep Learning-Based Approach for Cervical Cancer Classification Using 3D CNN and Vision Transformer.
    K A; B S
    J Imaging Inform Med; 2024 Feb; 37(1):280-296. PubMed ID: 38343216
    [TBL] [Abstract][Full Text] [Related]  

  • 14. TranSegNet: Hybrid CNN-Vision Transformers Encoder for Retina Segmentation of Optical Coherence Tomography.
    Zhang Y; Li Z; Nan N; Wang X
    Life (Basel); 2023 Apr; 13(4):. PubMed ID: 37109505
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images.
    Qu X; Lu H; Tang W; Wang S; Zheng D; Hou Y; Jiang J
    Med Phys; 2022 Sep; 49(9):5787-5798. PubMed ID: 35866492
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An interpretable transformer network for the retinal disease classification using optical coherence tomography.
    He J; Wang J; Han Z; Ma J; Wang C; Qi M
    Sci Rep; 2023 Mar; 13(1):3637. PubMed ID: 36869160
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Conv-Swinformer: Integration of CNN and shift window attention for Alzheimer's disease classification.
    Hu Z; Li Y; Wang Z; Zhang S; Hou W;
    Comput Biol Med; 2023 Sep; 164():107304. PubMed ID: 37549456
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization.
    Fan R; Alipour K; Bowd C; Christopher M; Brye N; Proudfoot JA; Goldbaum MH; Belghith A; Girkin CA; Fazio MA; Liebmann JM; Weinreb RN; Pazzani M; Kriegman D; Zangwill LM
    Ophthalmol Sci; 2023 Mar; 3(1):100233. PubMed ID: 36545260
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer.
    Lee CP; Lim KM; Song YX; Alqahtani A
    Plants (Basel); 2023 Jul; 12(14):. PubMed ID: 37514256
    [TBL] [Abstract][Full Text] [Related]  

  • 20. AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images.
    Alqudah AM
    Med Biol Eng Comput; 2020 Jan; 58(1):41-53. PubMed ID: 31728935
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.