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.
169 related articles for article (PubMed ID: 34421341)
1. Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN. Suchetha M; Ganesh NS; Raman R; Dhas DE Soft comput; 2021; 25(24):15255-15268. PubMed ID: 34421341 [TBL] [Abstract][Full Text] [Related]
2. Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning. Chen YM; Huang WT; Ho WH; Tsai JT BMC Bioinformatics; 2021 Nov; 22(Suppl 5):99. PubMed ID: 34749641 [TBL] [Abstract][Full Text] [Related]
3. A novel multiscale and multipath convolutional neural network based age-related macular degeneration detection using OCT images. Thomas A; Harikrishnan PM; Ramachandran R; Ramachandran S; Manoj R; Palanisamy P; Gopi VP Comput Methods Programs Biomed; 2021 Sep; 209():106294. PubMed ID: 34364184 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Automated Segmentation of Lesions Including Subretinal Hyperreflective Material in Neovascular Age-related Macular Degeneration. Lee H; Kang KE; Chung H; Kim HC Am J Ophthalmol; 2018 Jul; 191():64-75. PubMed ID: 29655643 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
13. 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]
14. 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]
15. Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration. Aslam TM; Zaki HR; Mahmood S; Ali ZC; Ahmad NA; Thorell MR; Balaskas K Am J Ophthalmol; 2018 Jan; 185():94-100. PubMed ID: 29101008 [TBL] [Abstract][Full Text] [Related]
16. Two-step hierarchical neural network for classification of dry age-related macular degeneration using optical coherence tomography images. Hu M; Wu B; Lu D; Xie J; Chen Y; Yang Z; Dai W Front Med (Lausanne); 2023; 10():1221453. PubMed ID: 37547613 [TBL] [Abstract][Full Text] [Related]
17. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration. Karri SP; Chakraborty D; Chatterjee J Biomed Opt Express; 2017 Feb; 8(2):579-592. PubMed ID: 28270969 [TBL] [Abstract][Full Text] [Related]
18. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network. Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811 [TBL] [Abstract][Full Text] [Related]
19. Application of mask R-CNN for building detection in UAV remote sensing images. Hou T; Li J Heliyon; 2024 Oct; 10(19):e38141. PubMed ID: 39397997 [TBL] [Abstract][Full Text] [Related]