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DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy.

, , , , , и . SBSI, стр. 57:1-57:9. ACM, (2024)

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Daniel Welfer

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Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)
 

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Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a CNN in the MSRC-12 Database., , , , и . ISDA, том 1351 из Advances in Intelligent Systems and Computing, стр. 590-599. Springer, (2020)Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions., , , и . IJCNN, стр. 1-8. IEEE, (2021)A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5., , , и . BIBM, стр. 3513-3520. IEEE, (2021)Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12., , , и . ISDA, том 418 из Lecture Notes in Networks and Systems, стр. 498-507. Springer, (2021)Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm., , , и . Appl. Artif. Intell., 33 (14): 1290-1305 (2019)Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy., , , и . EMBC, стр. 2692-2695. IEEE, (2021)Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering., , , и . SIBGRAPI, стр. 54-59. IEEE, (2019)Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm., , , , , , и . IJCNN, стр. 1-8. IEEE, (2023)A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images., , , и . MedInfo, том 264 из Studies in Health Technology and Informatics, стр. 253-257. IOS Press, (2019)Analysis of the Superpixel Slic Algorithm for Increasing Data for Disease Detection Using Deep Learning., , , , , и . ISDA, том 1351 из Advances in Intelligent Systems and Computing, стр. 488-497. Springer, (2020)