A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
Anterior segment optical coherence tomography (AS-OCT) image analysis methods and applications: A systematic review
YFG Marin, D Alonso-Caneiro, SJ Vincent… - Computers in Biology …, 2022 - Elsevier
Background Anterior segment optical coherence tomography (AS-OCT) constitutes an
important imaging modality to examine the anterior eye, which is commonly used in …
important imaging modality to examine the anterior eye, which is commonly used in …
Adam challenge: Detecting age-related macular degeneration from fundus images
Age-related macular degeneration (AMD) is the leading cause of visual impairment among
elderly in the world. Early detection of AMD is of great importance, as the vision loss caused …
elderly in the world. Early detection of AMD is of great importance, as the vision loss caused …
Financial development, productivity, and high-quality development of the marine economy
S Wang, B Lu, K Yin - Marine Policy, 2021 - Elsevier
This study explores how to effectively improve the productivity of the marine industry from a
financial support perspective and to find new ideas for the high-quality development of the …
financial support perspective and to find new ideas for the high-quality development of the …
MLung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging
To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a
crucial role in timely quarantine, medical treatment, and preventing the spread of the …
crucial role in timely quarantine, medical treatment, and preventing the spread of the …
Deep triplet hashing network for case-based medical image retrieval
Deep hashing methods have been shown to be the most efficient approximate nearest
neighbor search techniques for large-scale image retrieval. However, existing deep hashing …
neighbor search techniques for large-scale image retrieval. However, existing deep hashing …
[HTML][HTML] Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images
Nuclear cataract (NC) is a leading eye disease for blindness and vision impairment globally.
Accurate and objective NC grading/classification is essential for clinically early intervention …
Accurate and objective NC grading/classification is essential for clinically early intervention …
[HTML][HTML] Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image
Nuclear cataract (NC) is an age-related cataract disease. Cataract surgery is an effective
method to improve the vision and life quality of NC patients. Anterior segment optical …
method to improve the vision and life quality of NC patients. Anterior segment optical …
Screening of common retinal diseases using six-category models based on EfficientNet
S Zhu, B Lu, C Wang, M Wu, B Zheng, Q Jiang… - Frontiers in …, 2022 - frontiersin.org
Purpose A six-category model of common retinal diseases is proposed to help primary
medical institutions in the preliminary screening of the five common retinal diseases …
medical institutions in the preliminary screening of the five common retinal diseases …
Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks
Segment Anything Model (SAM) has achieved impressive results for natural image
segmentation with input prompts such as points and bounding boxes. Its success largely …
segmentation with input prompts such as points and bounding boxes. Its success largely …