141 related articles for article (PubMed ID: 36549031)
1. Structure-Oriented Transformer for retinal diseases grading from OCT images.
Shen J; Hu Y; Zhang X; Gong Y; Kawasaki R; Liu J
Comput Biol Med; 2023 Jan; 152():106445. PubMed ID: 36549031
[TBL] [Abstract][Full Text] [Related]
2. Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images.
Azizi MM; Abhari S; Sajedi H
PLoS One; 2024; 19(6):e0304943. PubMed ID: 38837967
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism.
Sun Y; Zhang H; Yao X
J Biomed Opt; 2020 Sep; 25(9):. PubMed ID: 32940026
[TBL] [Abstract][Full Text] [Related]
5. FNeXter: A Multi-Scale Feature Fusion Network Based on ConvNeXt and Transformer for Retinal OCT Fluid Segmentation.
Niu Z; Deng Z; Gao W; Bai S; Gong Z; Chen C; Rong F; Li F; Ma L
Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676042
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Multiscale dual attention mechanism for fluid segmentation of optical coherence tomography images.
Chen M; Ma W; Shi L; Li M; Wang C; Zheng G
Appl Opt; 2021 Aug; 60(23):6761-6768. PubMed ID: 34613154
[TBL] [Abstract][Full Text] [Related]
9. Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities.
Hassan B; Hassan T; Li B; Ahmed R; Hassan O
Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31284442
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.
Wen H; Zhao J; Xiang S; Lin L; Liu C; Wang T; An L; Liang L; Huang B
Comput Methods Programs Biomed; 2022 Jun; 220():106832. PubMed ID: 35525213
[TBL] [Abstract][Full Text] [Related]
13. Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.
Hassan T; Akram MU; Masood MF; Yasin U
Comput Biol Med; 2019 Feb; 105():112-124. PubMed ID: 30616039
[TBL] [Abstract][Full Text] [Related]
14. CLAHE-CapsNet: Efficient retina optical coherence tomography classification using capsule networks with contrast limited adaptive histogram equalization.
Opoku M; Weyori BA; Adekoya AF; Adu K
PLoS One; 2023; 18(11):e0288663. PubMed ID: 38032915
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Multi-scale convolutional neural network for automated AMD classification using retinal OCT images.
Sotoudeh-Paima S; Jodeiri A; Hajizadeh F; Soltanian-Zadeh H
Comput Biol Med; 2022 May; 144():105368. PubMed ID: 35259614
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans.
Alsaih K; Yusoff MZ; Tang TB; Faye I; Mériaudeau F
Comput Methods Programs Biomed; 2020 Oct; 195():105566. PubMed ID: 32504911
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
