Results 271 to 280 of about 375,552 (309)
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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 +2 more sources
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 +2 more sources
2004
This paper describes our studies on medical image processing and its medical applications. We have developed systems of computer aided diagnosis (CAD) and computer assisted surgery (CAS) in our laboratory. The important features of CAD and CAS are (1) generation of anatomical maps based on image recognition and understanding technologies, (2) automated
Takayuki Kitasaka +2 more
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This paper describes our studies on medical image processing and its medical applications. We have developed systems of computer aided diagnosis (CAD) and computer assisted surgery (CAS) in our laboratory. The important features of CAD and CAS are (1) generation of anatomical maps based on image recognition and understanding technologies, (2) automated
Takayuki Kitasaka +2 more
openaire +1 more source
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.
T. P. Belikova +2 more
openaire +1 more source
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.
T. P. Belikova +2 more
openaire +1 more source
Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
exaly
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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Ultrafast machine vision with 2D material neural network image sensors
Nature, 2020Lukas Mennel +2 more
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, 2015 Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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