Machine learning for cataract classification/grading on ophthalmic imaging modalities: a survey
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 …
researchers have achieved significant progress in developing state-of-the-art machine …
Towards a connected mobile cataract screening system: A future approach
WMD Wan Zaki, H Abdul Mutalib, LA Ramlan… - Journal of …, 2022 - mdpi.com
Advances in computing and AI technology have promoted the development of connected
health systems, indirectly influencing approaches to cataract treatment. In addition, thanks to …
health systems, indirectly influencing approaches to cataract treatment. In addition, thanks to …
[HTML][HTML] Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images
Nuclear cataract (NC) is a leading eye disease for blindness and vision impairment globally.
Accurate and objective NC grading/classification is essential for clinically early intervention …
Accurate and objective NC grading/classification is essential for clinically early intervention …
[HTML][HTML] Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image
Nuclear cataract (NC) is an age-related cataract disease. Cataract surgery is an effective
method to improve the vision and life quality of NC patients. Anterior segment optical …
method to improve the vision and life quality of NC patients. Anterior segment optical …
The use of convolutional neural networks and digital camera images in cataract detection
Cataract is one of the major causes of blindness in the world. Its early detection and
treatment could greatly reduce the risk of deterioration and blindness. Instruments commonly …
treatment could greatly reduce the risk of deterioration and blindness. Instruments commonly …
A transformer-based knowledge distillation network for cortical cataract grading
Cortical cataract, a common type of cataract, is particularly difficult to be diagnosed
automatically due to the complex features of the lesions. Recently, many methods based on …
automatically due to the complex features of the lesions. Recently, many methods based on …
CCA-Net: Clinical-awareness attention network for nuclear cataract classification in AS-OCT
Nuclear cataract (NC) is the leading cause of vision impairment and blindness globally. NC
patients can slow the opacity development with early intervention or recover vision with …
patients can slow the opacity development with early intervention or recover vision with …
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images
Nuclear cataract (NC) is a leading ocular disease globally for blindness and vision
impairment. NC patients can improve their vision through cataract surgery or slow the …
impairment. NC patients can improve their vision through cataract surgery or slow the …
Mixed‐decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition
Eye health has become a global health concern and attracted broad attention. Over the
years, researchers have proposed many state‐of‐the‐art convolutional neural networks …
years, researchers have proposed many state‐of‐the‐art convolutional neural networks …
Gated channel attention network for cataract classification on AS-OCT image
Nuclear cataract (NC) is the leading cause of blindness and vision impairment globally.
Accurate NC classification is significant for clinical NC diagnosis. Anterior segment optical …
Accurate NC classification is significant for clinical NC diagnosis. Anterior segment optical …