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Journal Abstract Search
361 related items for PubMed ID: 35001904
1. Automated detection of diabetic retinopathy using custom convolutional neural network. Albahli S, Ahmad Hassan Yar GN. J Xray Sci Technol; 2022; 30(2):275-291. PubMed ID: 35001904 [Abstract] [Full Text] [Related]
2. Systematic Comparison of Heatmapping Techniques in Deep Learning in the Context of Diabetic Retinopathy Lesion Detection. Van Craenendonck T, Elen B, Gerrits N, De Boever P. Transl Vis Sci Technol; 2020 Dec; 9(2):64. PubMed ID: 33403156 [Abstract] [Full Text] [Related]
4. Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features. Harangi B, Toth J, Baran A, Hajdu A. Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2699-2702. PubMed ID: 31946452 [Abstract] [Full Text] [Related]
5. A new intelligent system based deep learning to detect DME and AMD in OCT images. Gueddena Y, Aboudi N, Zgolli H, Mabrouk S, Sidibe D, Tabia H, Khlifa N. Int Ophthalmol; 2024 Apr 23; 44(1):191. PubMed ID: 38653842 [Abstract] [Full Text] [Related]
7. A deep learning framework for the early detection of multi-retinal diseases. Ejaz S, Baig R, Ashraf Z, Alnfiai MM, Alnahari MM, Alotaibi RM. PLoS One; 2024 Apr 23; 19(7):e0307317. PubMed ID: 39052616 [Abstract] [Full Text] [Related]
18. Automatic detection of microaneurysms in optical coherence tomography images of retina using convolutional neural networks and transfer learning. Almasi R, Vafaei A, Kazeminasab E, Rabbani H. Sci Rep; 2022 Aug 17; 12(1):13975. PubMed ID: 35978087 [Abstract] [Full Text] [Related]
19. Prediction of Diabetes through Retinal Images Using Deep Neural Network. Ragab M, Al-Ghamdi ASA, Fakieh B, Choudhry H, Mansour RF, Koundal D. Comput Intell Neurosci; 2022 Aug 17; 2022():7887908. PubMed ID: 35694596 [Abstract] [Full Text] [Related]