4.7 Article

DeepDrRVO: A GAN-auxiliary two-step masked transformer framework benefits early recognition and differential diagnosis of retinal vascular occlusion from color fundus photographs

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Oncology

Improved breast cancer histological grading using deep learning

Y. Wang et al.

Summary: The study developed a novel histological grade model (DeepGrade) based on digital whole-slide histopathology images and deep learning to improve risk stratification of NHG 2 breast cancer patients. DeepGrade provides independent prognostic information for stratification of NHG 2 cases and adds clinically relevant information over routine histological grading, serving as a cost-effective alternative to extract relevant information for clinical decisions.

ANNALS OF ONCOLOGY (2022)

Article Computer Science, Information Systems

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

Yi Zhou et al.

Summary: The proposed DR-GAN can generate high-resolution fundus images with arbitrary grading and lesion information, which can be used for meaningful data augmentation in training a DR grading and lesion segmentation model. The network also includes a multi-scale attention module and discriminators for optimizing the generation of small details in the synthesized images.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022)

Review Medicine, General & Internal

Novel Uses and Challenges of Artificial Intelligence in Diagnosing and Managing Eyes with High Myopia and Pathologic Myopia

Ran Du et al.

Summary: Myopia is a global health issue, and the use of artificial intelligence has been helpful in diagnosing and managing high myopia and other ocular diseases.

DIAGNOSTICS (2022)

Article Computer Science, Information Systems

Learning Two-Stream CNN for Multi-Modal Age-Related Macular Degeneration Categorization

Weisen Wang et al.

Summary: This paper addresses the automated categorization of Age-related Macular Degeneration (AMD), focusing on a multi-modal approach using Convolutional Neural Networks (CNNs). The proposed solution achieves better performance in multi-modal AMD categorization through the development of two data augmentation methods.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022)

Article Medicine, Research & Experimental

A deep-learning system predicts glaucoma incidence and progression using retinal photographs

Fei Li et al.

Summary: This study developed a deep-learning system for predicting and stratifying the risk of glaucoma onset and progression. The algorithm demonstrated good performance and accuracy in predicting glaucoma incidence and progression in external population cohorts.

JOURNAL OF CLINICAL INVESTIGATION (2022)

Review Computer Science, Artificial Intelligence

Applications of deep learning in fundus images: A review

Tao Li et al.

Summary: The use of deep learning in fundus image analysis is increasingly popular due to its powerful performance in various applications. This review paper introduces 143 application papers and 33 publicly available datasets, providing summaries, analyses, and solutions for common limitations in each task. The authors also promise to regularly update the state-of-the-art results and newly-released datasets on their GitHub page to keep up with the rapid development in the field.

MEDICAL IMAGE ANALYSIS (2021)

Article Ophthalmology

Artificial intelligence can assist with diagnosing retinal vein occlusion

Qiong Chen et al.

Summary: DL models demonstrate strong performance in recognizing RVO and identifying lesions using color fundus photographs, potentially aiding in the early diagnosis of RVO and reducing vision impairment due to the increasing number of RVO patients and demand for trained ophthalmologists.

INTERNATIONAL JOURNAL OF OPHTHALMOLOGY (2021)

Article Computer Science, Interdisciplinary Applications

Multi-Modal Retinal Image Classification With Modality-Specific Attention Network

Xingxin He et al.

Summary: In this study, a novel modality-specific attention network (MSAN) was proposed for multi-modal retinal image classification, effectively utilizing diagnostic features from fundus and OCT images. The network includes two attention modules to extract features from different imaging modalities for a more accurate diagnosis.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)

Article Multidisciplinary Sciences

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

Ling-Ping Cen et al.

Summary: The developed deep learning platform can effectively detect multiple retinal diseases and conditions, demonstrating high accuracy and efficiency.

NATURE COMMUNICATIONS (2021)

Article Health Care Sciences & Services

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Qi Dou et al.

Summary: The study demonstrates the feasibility of using federated learning to detect CT abnormalities related to COVID-19 and validate externally. They recruited 132 patients from different multinational centers, showing that this method can establish a privacy-preserving AI model with good generalization capability on multinational datasets.

NPJ DIGITAL MEDICINE (2021)

Article Computer Science, Hardware & Architecture

Generative Adversarial Networks

Ian Goodfellow et al.

COMMUNICATIONS OF THE ACM (2020)

Article Medicine, General & Internal

Retinal vascular occlusions

Ingrid U Scott et al.

LANCET (2020)

Article Ophthalmology

Stroke Risk and Risk Factors in Patients With Central Retinal Artery Occlusion

Patrick Lavin et al.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2018)

Review Computer Science, Interdisciplinary Applications

Computer-aided diagnosis of glaucoma using fundus images: A review

Yuki Hagiwara et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Medicine, General & Internal

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)

Article Ophthalmology

The Incidence of Central Retinal Artery Occlusion in Olmsted County, Minnesota

Jacqueline A. Leavitt et al.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2011)

Article Ophthalmology

Retinal Artery Occlusion Associated Systemic and Ophthalmic Abnormalities

Sohan Singh Hayreh et al.

OPHTHALMOLOGY (2009)