Digital Mammogram Enhancement

Haindl, Michal; Reměs, Václav

doi:10.5772/60988

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2017

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“…M.Haindl et al, [14] showed an efficient single view and double view enhancement technique based on a model that is two-dimensional adaptive autoregressive texture in nature which can predict breast tissues within local-area from mammogram images and enhance those to detect abnormality. This model can also predict and detect presence of cancer by the technique of statistics as well.…”

Section: Local Basedmentioning

confidence: 99%

Pre-processing of Digital Mammogram – A Review

Bhattacharjee¹,

Maitra²

2017

Advanced Science and Technology Letters

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Abstract. This review investigates the different pre-processing techniques like image registration and various methods under the category of image enhancement methodologies in digital mammogram. Furthermore, in this review a comparative analysis of the different pre-processing techniques are discussed along with the different techniques that are elaborately analyzed. This review is one step forward towards the identification of abnormality in digital mammography using CAD(computer aided diagnosis). Among the forthcoming techniques of pre-processing, followed by segmentation and feature extraction, before deriving the final conclusion whether a suspected region is malignant or not that still remains a major challenge.

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Section: Local Basedmentioning

confidence: 99%