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Application of Neural Nets to Ultrasound Tissue Characterization

J.S. Ostrem, +2 more
- 01 Jul 1991 - 
- Vol. 13, Iss: 3, pp 298-299
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This article is published in Ultrasonic Imaging.The article was published on 1991-07-01. It has received 14 citations till now.

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On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology.

TL;DR: There is no evidence so far that application of ANNs represents real progress in the field of diagnosis and prognosis in oncology, according to a search in the medical literature from 1991 to 1995.
Journal ArticleDOI

Application of an artificial neural network in epiluminescence microscopy pattern analysis of pigmented skin lesions: a pilot study.

TL;DR: Whether ELM criteria pattern analysis can be employed in an objective, observer‐trained, computer‐aided diagnostic system, and whether artificial neural networks (ANN) can be applied to the diagnosis of pigmented skin lesions (PSL) are investigated.
Journal ArticleDOI

Application of artificial neural networks for the classification of liver lesions by image texture parameters

TL;DR: In this article, a multilayered back-propagation neural network was used for liver lesion classification using B-scan ultrasound images for normal, hemangioma and malignant livers.
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Volume rendering of 3D medical ultrasound data using direct feature mapping

TL;DR: The authors found that some of these methods may give clinically useful information which is very difficult to get from ordinary 2D ultrasonic images, and in some cases renderings with very fine structural details.
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Performance of a Neural Network Trained to Make Third-molar Treatment-planning Decisions

TL;DR: This study demonstrates that it is possible to train a neural network to provide reliable decision support for lower-third-molar treatment planning, using a software-based neural network based on the optimal architecture of Neudesk 1.2.
References
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Ultrasound tissue characterization of breast biopsy specimens.

TL;DR: Results of measurements of ultrasound speed and absorption coefficients in breast tissues at 37 C are reported and analyzed in attempts to identify a set of ultrasound parameters capable of discriminating normal, benign, and malignant tissues.