Image interpretation, computer-assisted

4th International Workshop on Soft Computing Applications, 2010
The information in medical imaging is structured on multiple layers: semantic and numerical. Several algorithms for shape and color detection which can be used for numerical analysis are presented in this paper. Semantic information can be extracted from numerical information using fuzzyfication.
Norbert Gal, Vasile Stoicu-Tivadar
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Neural network approach for computer-assisted interpretation of ultrasound images of the gallbladder

European Journal of Radiology, 1993
Multi-formatted films of 90 ultrasound examinations of the gallbladder (stones 56 cases, sludge 20 cases, hydrops five cases, normal gallbladder nine cases) have been digitalized and stored in a personal computer. Image data of each examination was processed to extract a 19-dimensional vector that represents the essential diagnostic information of each
E, Rinast, R, Linder, H D, Weiss
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Automated Image Interpretation and Computer-Assisted Diagnostics

2013
Much of the difficulty in reaching consistent evaluations of radiology and pathology imaging studies arises from subjective impressions of individual observers. Developing strategies that can reliably transform complex visual observations into well-defined algorithmic procedures is an active area of exploration which can advance clinical practice ...
David J, Foran, Wenjin, Chen, Lin, Yang
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computer-assisted
artificial intelligence
image interpretation

deep learning
humans
diagnostic imaging

magnetic resonance imaging
image interpretation computer-assisted
radiography