Diabetic retinopathy (DR) has become a serious threat in our society, which causes 45% of the legal blindness in diabetes patients. Early detection as well as the periodic screening of DR helps in reducing the progress of this disease and in preventing the subsequent loss of visual capability. This paper provides an automated diagnosis system for DR integrated with a user-friendly interface. The grading of the severity level of DR is based on detecting and analyzing the early clinical signs associated with the disease, such as microaneurysms (MAs) and hemorrhages (HAs). The system extracts some retinal features, such as optic disc, fovea, and retinal tissue for easier segmentation of dark spot lesions in the fundus images. That is followed by the classification of the correctly segmented spots into MAs and HAs. Based on the number and location of MAs and HAs, the system quantifies the severity level of DR. A database of 98 color images is used in order to evaluate the performance of the developed system. From the experimental results, it is found that the proposed system achieves 84.31% and 87.53% values in terms of sensitivity for the detection of MAs and HAs respectively. In terms of specificity, the system achieves 93.63% and 95.08% values for the detection of MAs and HAs respectively. Also, the proposed system achieves 68.98% and 74.91% values in terms of kappa coefficient for the detection of MAs and HAs respectively. Moreover, the system yields sensitivity and specificity values of 89.47% and 95.65% for the classification of DR versus normal.
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http://dx.doi.org/10.1016/j.cmpb.2012.03.004 | DOI Listing |
JAMA
January 2025
Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT, Washington, DC.
Importance: Health information technology, such as electronic health records (EHRs), has been widely adopted, yet accessing and exchanging data in the fragmented US health care system remains challenging. To unlock the potential of EHR data to improve patient health, public health, and health care, it is essential to streamline the exchange of health data. As leaders across the US Department of Health and Human Services (DHHS), we describe how DHHS has implemented fundamental building blocks to achieve this vision.
View Article and Find Full Text PDFJpn J Ophthalmol
January 2025
Department of Ophthalmology, Graduate of Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Purpose: To assess the efficacy and safety of PreserFlo MicroShunt (PMS) combined with mitomycin C in patients with medically treated primary open-angle glaucoma (POAG).
Study Design: A retrospective observational study.
Methods: The study examined 83 eyes from 83 patients with medically treated glaucoma surgery naive POAG.
Clin Rheumatol
January 2025
Department of Rheumatology and Immunology, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Objectives: To investigate the clinical and laboratory features of Sjögren's syndrome-associated autoimmune liver disease (SS-ALD) patients and identify potential risk and prognostic factors.
Methods: SS patients with or without ALD, who visited Tongji Hospital between the years 2011 and 2021 and met the 2012 American College of Rheumatology (ACR) classification criteria for Sjögren's syndrome, were retrospectively enrolled. The clinical and laboratory data of the enrolled patients, including autoimmune antibodies, were collected and analyzed with principal component analysis, correlation analysis, LASSO regression, and Cox regression.
Langenbecks Arch Surg
January 2025
Department of Trauma Surgery, University Hospital Zurich, Rämistrasse 100, CH - 8091, Zurich, Switzerland.
Introduction: Blunt traumatic aortic injury (TAI) is a critical condition and a leading cause of mortality in trauma patients, often resulting from high-speed accidents. Thoracic endovascular aortic repair (TEVAR) has developed into the preferred therapeutic approach due to its minimally invasive nature and promising outcomes. This study evaluates the safety and efficacy of TEVAR for managing TAI over a 10-year period at a Level-1 trauma center.
View Article and Find Full Text PDFExp Brain Res
January 2025
Department of Kinesiology, Michigan State University, 308 W Circle Dr, East Lansing, USA.
A characteristic feature of redundancy in the motor system is the ability to compensate for the failure of individual motor elements without affecting task performance. In this study, we examined the pattern and variability in error compensation between motor elements during a virtual task. Participants performed a redundant cursor control task with finger movements.
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