Multi-Disease Deep-Learning Neural Network for the Diagnosis of Corneal Diseases.
Sign Up to like & getrecommendations! Published in 2021 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2021.01.018
Abstract: PURPOSE To report a multi-disease deep-learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs' endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images. STUDY DESIGN Development… read more here.
Keywords: corneal diseases; multi disease; network; deep learning ... See more keywords
A healthcare facility location problem for a multi-disease, multi-service environment under risk aversion
Sign Up to like & getrecommendations! Published in 2020 at "Socio-economic Planning Sciences"
DOI: 10.1016/j.seps.2019.100755
Abstract: This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offering a… read more here.
Keywords: multi service; multi; service environment; service ... See more keywords
Uptake and correlates of cervical cancer screening among women attending a community-based multi-disease health campaign in Kenya
Sign Up to like & getrecommendations! Published in 2022 at "BMC Women's Health"
DOI: 10.1186/s12905-022-01702-4
Abstract: Introduction Despite the increased risk of cervical cancer among HIV-positive women, many HIV-care programs do not offer integrated cervical cancer screening. Incorporating self-collected Human Papillomavirus (HPV) testing into HIV programs is a potential strategy to… read more here.
Keywords: community; cancer screening; cancer; multi disease ... See more keywords
Mapping Multi-Disease Risk during El Niño: An Ecosyndemic Approach
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph15122639
Abstract: El Niño is a quasi-periodic pattern of climate variability and extremes often associated with hazards and disease. While El Niño links to individual diseases have been examined, less is known about the cluster of multi-disease… read more here.
Keywords: disease risk; disease; mapping multi; approach ... See more keywords
A Multi-Label Detection Deep Learning Model with Attention-Guided Image Enhancement for Retinal Images
Sign Up to like & getrecommendations! Published in 2023 at "Micromachines"
DOI: 10.3390/mi14030705
Abstract: At present, multi-disease fundus image classification tasks still have the problems of small data volumes, uneven distributions, and low classification accuracy. In order to solve the problem of large data demand of deep learning models,… read more here.
Keywords: classification; multi disease; deep learning; model ... See more keywords