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Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …
the largest share of visually impaired children, working-age adults (inherited retinal …
[HTML][HTML] Emerging therapeutic approaches and genetic insights in stargardt disease: A comprehensive review
LA Ghenciu, OA Hațegan, ER Stoicescu… - International Journal of …, 2024 - mdpi.com
Stargardt disease, one of the most common forms of inherited retinal diseases, affects
individuals worldwide. The primary cause is mutations in the ABCA4 gene, leading to the …
individuals worldwide. The primary cause is mutations in the ABCA4 gene, leading to the …
Analyzing microstructure relationships in porous copper using a multi-method machine learning-based approach
A Wijaya, J Wagner, B Sartory, R Brunner - Communications Materials, 2024 - nature.com
The prediction of material properties from a given microstructure and its reverse engineering
displays an essential ingredient for accelerated material design. However, a comprehensive …
displays an essential ingredient for accelerated material design. However, a comprehensive …
[HTML][HTML] Next-generation sequencing applications for inherited retinal diseases
A Dockery, L Whelan, P Humphries… - International Journal of …, 2021 - mdpi.com
Inherited retinal diseases (IRDs) represent a collection of phenotypically and genetically
diverse conditions. IRDs phenotype (s) can be isolated to the eye or can involve multiple …
diverse conditions. IRDs phenotype (s) can be isolated to the eye or can involve multiple …
Stargardt disease and progress in therapeutic strategies
Background Stargardt disease (STGD1) is an autosomal recessive retinal dystrophy due to
mutations in ABCA4, characterized by subretinal deposition of lipofuscin-like substances …
mutations in ABCA4, characterized by subretinal deposition of lipofuscin-like substances …
Stargardt disease: Multimodal imaging: A review
Stargardt disease (STGD1) is an autosomal recessive retinal dystrophy, characterised by
bilateral progressive central vision loss and subretinal deposition of lipofuscin‐like …
bilateral progressive central vision loss and subretinal deposition of lipofuscin‐like …
A systematic review of artificial intelligence applications used for inherited retinal disease management
Nowadays, Artificial Intelligence (AI) and its subfields, Machine Learning (ML) and Deep
Learning (DL), are used for a variety of medical applications. It can help clinicians track the …
Learning (DL), are used for a variety of medical applications. It can help clinicians track the …
Automated segmentation and feature discovery of age-related macular degeneration and Stargardt disease via self-attended neural networks
Age-related macular degeneration (AMD) and Stargardt disease are the leading causes of
blindness for the elderly and young adults respectively. Geographic atrophy (GA) of AMD …
blindness for the elderly and young adults respectively. Geographic atrophy (GA) of AMD …
Quantification of Fundus Autofluorescence Features in a Molecularly Characterized Cohort of More Than 3000 Inherited Retinal Disease Patients from the United …
Purpose To quantify relevant fundus autofluorescence (FAF) image features cross-
sectionally and longitudinally in a large cohort of inherited retinal diseases (IRDs) patients …
sectionally and longitudinally in a large cohort of inherited retinal diseases (IRDs) patients …
Artificial intelligence (AI) applications for age-related macular degeneration (AMD) and other retinal dystrophies
T Perepelkina, AB Fulton - Seminars in ophthalmology, 2021 - Taylor & Francis
Artificial intelligence (AI), with its subdivisions (machine and deep learning), is a new branch
of computer science that has shown impressive results across a variety of domains. The …
of computer science that has shown impressive results across a variety of domains. The …