Results 41 to 50 of about 130,480 (185)
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception [PDF]
arXiv, 2023 Semantic Segmentation plays a pivotal role in many applications related to medical image and video analysis. However, designing a neural network architecture for medical image and surgical video segmentation is challenging due to the diverse features of relevant classes, including heterogeneity, deformability, transparency, blunt boundaries, and ...
arxiv
Cataract influence on iris recognition performance [PDF]
Photonics Applications in Astronomy, Communications, Industry, and
High-Energy Physics Experiments 2014, 929020 (2014), 2018 This paper presents the experimental study revealing weaker performance of the automatic iris recognition methods for cataract-affected eyes when compared to healthy eyes. There is little research on the topic, mostly incorporating scarce databases that are often deficient in images representing more than one illness.
arxiv +1 more source
Hierarchical method for cataract grading based on retinal images using improved Haar wavelet [PDF]
arXiv, 2019 Cataracts, which are lenticular opacities that may occur at different lens locations, are the leading cause of visual impairment worldwide. Accurate and timely diagnosis can improve the quality of life of cataract patients. In this paper, a feature extraction-based method for grading cataract severity using retinal images is proposed.
arxiv
Relevance-Based Compression of Cataract Surgery Videos [PDF]
arXiv, 2023 In the last decade, the need for storing videos from cataract surgery has increased significantly. Hospitals continue to improve their imaging and recording devices (e.g., microscopes and cameras used in microscopic surgery, such as ophthalmology) to enhance their post-surgical processing efficiency.
arxiv
Disparities in delivery of ophthalmic care; An exploration of public Medicare data.
PLoS ONE, 2017 PurposeCataract is a major cause of age-related eye diseases in the United States, and cataract extraction is the most commonly performed surgery on Medicare beneficiaries.
Cecilia S Lee +4 more
doaj +1 more source
2020 CATARACTS Semantic Segmentation Challenge [PDF]
arXiv, 2021 Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In 2017, the Challenge on Automatic Tool Annotation for cataRACT Surgery (CATARACTS) released 50 cataract surgery videos accompanied by instrument usage annotations.
arxiv
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey [PDF]
Machine Intelligence Research,2022, 2020 Cataracts are the leading cause of visual impairment and blindness globally. Over the years, researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic cataract classification and grading, aiming to prevent cataracts early and improve clinicians' diagnosis efficiency.
arxiv
Sutureless Cataract Extraction: Complications and Management; Learning Curves
Community Eye Health Journal, 2003 A key issue in converting to sutureless cataract surgery is training. This article first describes the main surgical steps and complications of sutureless cataract extraction and their management. The second part reports on the training of 11 surgeons in
Bernd Schroeder
doaj
A novel splice site mutation of CRYBA3/A1 gene associated with congenital cataract in a Chinese family [PDF]
International Journal of Ophthalmology, 2017 AIM: To identify the disease-causing mutation responsible for the presence of congenital cataract in a Chinese family. METHODS: The study recruited a four-generation Chinese pedigree affected by autosomal dominant congenital cataract (ADCC).
Meng-Han Wu +4 more
doaj +1 more source
SegDenseNet: Iris Segmentation for Pre and Post Cataract Surgery [PDF]
arXiv, 2018 Cataract is caused due to various factors such as age, trauma, genetics, smoking and substance consumption, and radiation. It is one of the major common ophthalmic diseases worldwide which can potentially affect iris-based biometric systems. India, which hosts the largest biometrics project in the world, has about 8 million people undergoing cataract ...
arxiv