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Method for improving breast cancer diagnosis using mountain-view and contrast-enhancement presentation of mammography

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TLDR
In this article, a method for improving disease diagnosis using contrast enhancement presentation is proposed, which consists of providing an input digital diagnostic image, applying a decomposition filter bank to the input digital image, constructing a tone scale curve from the input image and applying said scale curve to the image to produce a tone-scaled image, generating the contrast weight control signals from the image by extracting the high contrast edge signals at the coarse scale.
Abstract
A method for improving disease diagnosis using contrast enhancement presentation comprising: providing an input digital diagnostic image; applying a decomposition filter bank to the input digital diagnostic image; constructing a tone scale curve from the input digital diagnostic image; applying said tone scale curve to the input digital diagnostic image to produce a tone-scaled image; applying a decomposition filter bank to the tone-scaled image; generating the contrast weight control signals from the input digital diagnostic image by extracting the high contrast edge signals at the coarse scale; adjusting the decomposition outputs from both the input image and the tone-scaled image according to the contrast weight control signals; and applying a reconstruction filter bank to the adjusted signals to produce a contrast enhancement presentation output image.

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Citations
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TL;DR: In this article, the authors present systems, methods and devices for adjusting image code values in conjunction with display light source illumination levels for enhanced image display. But they do not discuss the performance of these methods.
References
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Book

Characterization of Signals From Multiscale Edges

TL;DR: The authors describe an algorithm that reconstructs a close approximation of 1-D and 2-D signals from their multiscale edges and shows that the evolution of wavelet local maxima across scales characterize the local shape of irregular structures.
Journal ArticleDOI

Analysis of cancers missed at screening mammography.

R E Bird, +2 more
- 01 Sep 1992 - 
TL;DR: Analysis of 320 cancers found in a screened population between August 1985 and May 1990 revealed 77 cancers that were "missed" at screening mammography, which occurred in women with denser breasts, were less likely to demonstrate malignant microcalcifications, and were more likely to demonstrating a developing opacity as an indication of cancer.
Journal ArticleDOI

Visual scanning, pattern recognition and decision-making in pulmonary nodule detection.

TL;DR: Using the assumption that prolonged dwell time indicates intensive processing of visual data, a model was developed for nodule detection that includes four steps: orientation, scanning, pattern recognition and decision-making.
Journal ArticleDOI

Benefit of independent double reading in a population-based mammography screening program.

TL;DR: Independent double reading does significantly increase sensitivity of mammography screening and, specifically, the effect on breast cancer detection.
Journal ArticleDOI

Mammographic feature enhancement by multiscale analysis

TL;DR: It is demonstrated that features extracted from multiresolution representations can provide an adaptive mechanism for accomplishing local contrast enhancement and by improving the visualization of breast pathology, one can improve chances of early detection while requiring less time to evaluate mammograms for most patients.