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
[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: A systematic review
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …
over the world. Diabetic eye illness is identified as one of the most common reasons for …
Explainable AI for retinoblastoma diagnosis: interpreting deep learning models with LIME and SHAP
Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt
diagnosis and treatment to prevent vision loss and even death. Deep learning models have …
diagnosis and treatment to prevent vision loss and even death. Deep learning models have …
Automated brain tumor segmentation and classification in MRI using YOLO-based deep learning
Recent advancements in image processing and computer vision have brought significant
transformations in healthcare technology, leading to significant improvements in diagnosis …
transformations in healthcare technology, leading to significant improvements in diagnosis …
A multi-resolution convolutional attention network for efficient diabetic retinopathy classification
Diabetic retinopathy (DR) is a disorder commonly associated with individuals who have
diabetes and is caused by excessive glucose levels in the blood, which induce retinal …
diabetes and is caused by excessive glucose levels in the blood, which induce retinal …
Application of artificial intelligence for classification, segmentation, early detection, early diagnosis, and grading of diabetic retinopathy from fundus retinal images: A …
G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
A deep learning model for detecting diabetic retinopathy stages with discrete wavelet transform
Diabetic retinopathy (DR) is the primary factor leading to vision impairment and blindness in
diabetics. Uncontrolled diabetes can damage the retinal blood vessels. Initial detection and …
diabetics. Uncontrolled diabetes can damage the retinal blood vessels. Initial detection and …
[HTML][HTML] Enhancement of diabetic retinopathy prognostication using deep learning, CLAHE, and ESRGAN
One of the primary causes of blindness in the diabetic population is diabetic retinopathy
(DR). Many people could have their sight saved if only DR were detected and treated in …
(DR). Many people could have their sight saved if only DR were detected and treated in …
[HTML][HTML] A user-friendly approach for the diagnosis of diabetic retinopathy using ChatGPT and automated machine learning
Purpose To assess the capabilities of Chat Generative Pre-trained Transformer (ChatGPT)
and Vertex AI in executing code-free preprocessing, training machine learning (ML) models …
and Vertex AI in executing code-free preprocessing, training machine learning (ML) models …
YOLOv5-FPN: a robust framework for multi-sized cell counting in fluorescence images
Cell counting in fluorescence microscopy is an essential task in biomedical research for
analyzing cellular dynamics and studying disease progression. Traditional methods for cell …
analyzing cellular dynamics and studying disease progression. Traditional methods for cell …
[PDF][PDF] Automated Classification of Ophthalmic Disorders Using Color Fundus Images
This study proposes a novel methodology for classifying ocular diseases using
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …