Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Multi-task deep learning for medical image computing and analysis: A review
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …
conventional deep learning models are constructed for a single specific task, multi-task deep …
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Breast cancer is one of the most common causes of death among women worldwide. Early
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
An enhanced segmentation and deep learning architecture for early diabetic retinopathy detection
RR Maaliw, ZP Mabunga… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy is a serious complication needing prompt diagnosis and medication to
avert vision loss. Lesions caused by the condition are difficult to track because they are …
avert vision loss. Lesions caused by the condition are difficult to track because they are …
A local and global feature disentangled network: toward classification of benign-malignant thyroid nodules from ultrasound image
SX Zhao, Y Chen, KF Yang, Y Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Thyroid nodules are one of the most common nodular lesions. The incidence of thyroid
cancer has increased rapidly in the past three decades and is one of the cancers with the …
cancer has increased rapidly in the past three decades and is one of the cancers with the …
[HTML][HTML] A systematic literature review on diabetic retinopathy using an artificial intelligence approach
Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels
and has become the most common cause of vision loss worldwide. It has become a severe …
and has become the most common cause of vision loss worldwide. It has become a severe …
[HTML][HTML] CARNet: Cascade attentive RefineNet for multi-lesion segmentation of diabetic retinopathy images
Y Guo, Y Peng - Complex & Intelligent Systems, 2022 - Springer
Diabetic retinopathy is the leading cause of blindness in working population. Lesion
segmentation from fundus images helps ophthalmologists accurately diagnose and grade of …
segmentation from fundus images helps ophthalmologists accurately diagnose and grade of …
Computer-aided diagnostic system for hypertensive retinopathy: A review
Hypertensive Retinopathy (HR) is a retinal disease caused by elevated blood pressure for a
prolonged period. There are no obvious signs in the early stages of high blood pressure, but …
prolonged period. There are no obvious signs in the early stages of high blood pressure, but …
AMD-GAN: attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy …
The scanning laser ophthalmoscopy (SLO) has become an important tool for the
determination of peripheral retinal pathology, in recent years. However, the collected SLO …
determination of peripheral retinal pathology, in recent years. However, the collected SLO …
Dual-stream Representation Fusion Learning for accurate medical image segmentation
Accurate segmenting regions of interest in various medical images are essential to clinical
research and applications. Although deep learning-based methods have achieved good …
research and applications. Although deep learning-based methods have achieved good …