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Computer-Assisted Image Processing for a Simulated Stereo Effect of Ocular Fundus and Fluorescein Angiography Photographs

Ophthalmic Surgery, Lasers and Imaging Retina, 2010
BACKGROUND AND OBJECTIVE: To report computer-assisted image processing for a simulated stereo effect of fundus and fluorescein angiography (FAG) digital photographs in patients with ocular fundus pathology. PATIENTS AND METHODS: Fundus red-free and FAG photographs of patients with a
Lee Jen Chen, Shu I Yeh
openaire   +3 more sources

Computer-Assisted System for Hypertensive Risk Determination through Fundus Image Processing

2014
From a fundus image, the system proposed in this paper automatically detects retinal vessels and measures some geometrical properties on them such as diameter and bifurcation angles. Its goal is to establish objective relations between different vessels, thus being able to determine cardiovascular risk or other diseases, as well as to monitor their ...
Sandra Morales   +4 more
openaire   +2 more sources

A review on Deep Learning in thyroid ultrasound Computer-Assisted Diagnosis systems

International Conference on Image Processing, Applications and Systems, 2018
Ultrasound is one of the most used imaging techniques for assessing and evaluating thyroid lesions. Indeed, it shows a good performance in terms of discrimination between benign and malignant thyroid nodules.
Hajer Khachnaoui   +2 more
semanticscholar   +1 more source

CADI: Computer assisted educational package for digital image processing

1993
A brief description of the goal of CADI project and the main features of the last version of the developed educational system is presented.
openaire   +2 more sources

<title>Computer-assisted image processing for lung cancer localization</title>

SPIE Proceedings, 1996
Autofluorescence of the tumor and surrounding tissue is the largest background source in fluorescence diagnosis. A new system which applied computer image processing technique to lung cancer localization by laser fluorescence bronchoscopy has been developed to subtract the autofluorescence background.
Qirong Lin   +4 more
openaire   +2 more sources

Computer-assisted detection (CAD) of pulmonary nodules on thoracic CT scans using image processing and classification techniques

SPIE Proceedings, 2004
Computer assisted methods for the detection of pulmonary nodules have become more important as the resolution of CT scanners has increased and as more accurate and reproducible detections are needed. In this paper we describe the results of a CAD system for the detection of lung nodules and compare them against the interpretations of three independent ...
M Roddie   +5 more
openaire   +2 more sources

Computer Assistance in the Processing of Medical Images to Improve Specific Diagnosis of Peripheral Lung Cancer

1993
Computer assisted technology for medical image processing is developed to increase the accuracy and reliability of peripheral lung cancer diagnosis at the early stage of disease. Technology is based on optimal filtering methods that are to emphasize diagnostically important patterns and parts in lung tomograms.
V. V. Lashin   +2 more
openaire   +2 more sources

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention
The Transformer architecture has shown a remarkable ability in modeling global relationships. However, it poses a significant computational challenge when processing high-dimensional medical images. This hinders its development and widespread adoption in
Zhaohu Xing   +4 more
semanticscholar   +1 more source

Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms

IEEE Signal Processing Magazine, 2016
Hossein Nejati   +5 more
semanticscholar   +1 more source

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