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Found 7 papers, 3 papers with code
Character decomposition to resolve class imbalance problem in Hangul OCR
As the total number of the characters could overwhelm the capacity of a neural network, the existing OCR encoding methods pre-define a smaller set of characters that are frequently used.
Optical Character Recognition
Optical Character Recognition (OCR)
REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening
Here we release a multi-annotation, multi-quality, and multi-device color fundus image dataset for glaucoma analysis on an original challenge -- Retinal Fundus Glaucoma Challenge 2nd Edition (REFUGE2).
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
The ADAM challenge consisted of four tasks which cover the main aspects of detecting and characterizing AMD from fundus images, including detection of AMD, detection and segmentation of optic disc, localization of fovea, and detection and segmentation of lesions.
The Medical Segmentation Decathlon
Segmentation is so far the most widely investigated medical image processing task, but the various segmentation challenges have typically been organized in isolation, such that algorithm development was driven by the need to tackle a single specific clinical problem.
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
As part of REFUGE, we have publicly released a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN
Fundoscopic images are often investigated by ophthalmologists to spot abnormal lesions to make diagnoses.
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images.
