Mammogram image retrieval via sparse representation

Siyahjani, Farzad; Ghaffari, Aboozar; Fatemizadeh, Emad

doi:10.1109/mecbme.2011.5752065

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Content-based Image Retrieval (Cbir) In Mammography1

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“…A hierarchical correlation approach was presented to retrieve masses and normal tissues in Wei et al [67]. Siyahjani et al [68] put forward a retrieval method for masses and normal tissues. In his method, multi-level wavelet transforms were applied to the ROI.…”

Section: Content-based Image Retrieval (Cbir) In Mammographymentioning

confidence: 99%

A Survey of Computer-aided Detection of Breast Cancer with Mammography

Yanfeng¹,

Chen²,

Chen³

et al. 2016

J Health Med Inform

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Computer-aided detection (CAD) systems can be served as a second view for radiologist. An overview of recent development in CAD methods are presented in this paper. Abnormalities detection, abnormalities classification and content-based image retrieval (CBIR) are briefly reviewed. For the abnormalities detection, micro-calcification detection, mass detection and multi-view based detection are introduced. For the abnormalities classification, micro-calcification classification and mass classification are given.

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Section: Content-based Image Retrieval (Cbir) In Mammographymentioning

confidence: 99%