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Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment.

, , , , , и . IEEE Trans. Medical Imaging, 38 (9): 2211-2218 (2019)

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Cristina Morales Morales

Fabio José Morales Morales

Fabio Morales

Gerardo Morales

Héctor Morales

 

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Glaucoma diagnosis by means of optic cup feature analysis in color fundus images., , , , и . EUSIPCO, стр. 2055-2059. IEEE, (2016)Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images., , , , , , , и . EUSIPCO, стр. 1-5. IEEE, (2019)Artificial intelligence in computational pathology - challenges and future directions., , и . Digit. Signal Process., (2021)Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding., , , , , , , , и . IDEAL (1), том 11314 из Lecture Notes in Computer Science, стр. 27-34. Springer, (2018)Significant point characterization in fundus images., , , и . IPTA, стр. 331-336. IEEE, (2015)Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks., , , , , , , и . Comput. Methods Programs Biomed., (2021)BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses., , , , , и . Comput. Methods Programs Biomed., (2017)Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization., , , , , и . IDEAL, том 13756 из Lecture Notes in Computer Science, стр. 482-490. Springer, (2022)Automatic detection of optic disc based on PCA and stochastic watershed., , , , и . EUSIPCO, стр. 2605-2609. IEEE, (2012)Environmental assessment of mercury pollution in urban tailings from gold mining, и . Ecotoxicology and Environmental Safety, (2013)