Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013–2023)
Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …
[HTML][HTML] Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
Diabetic Retinopathy (DR) is a major complication in human eyes among the diabetic
patients. Early detection of the DR can save many patients from permanent blindness …
patients. Early detection of the DR can save many patients from permanent blindness …
A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
Background In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
[HTML][HTML] Detection of diabetic retinopathy using extracted 3D features from OCT images
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated
early. In this study, a three-step system for DR detection utilizing optical coherence …
early. In this study, a three-step system for DR detection utilizing optical coherence …
[HTML][HTML] Impact of imaging biomarkers and AI on breast cancer management: a brief review
Simple Summary Artificial intelligence (AI) has seamlessly integrated into the medical field,
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …
An AI-based novel system for predicting respiratory support in COVID-19 patients through CT imaging analysis
The proposed AI-based diagnostic system aims to predict the respiratory support required
for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level …
for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level …
A clinically explainable AI-based grading system for age-related macular degeneration using optical coherence tomography
We propose an automated, explainable artificial intelligence (xAI) system for age-related
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …
Role of optical coherence tomography imaging in predicting progression of age-related macular disease: A survey
In developed countries, age-related macular degeneration (AMD), a retinal disease, is the
main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently …
main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently …