Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms

Murk J. Bottema; John P. Slavotinek

doi:10.1016/S0167-8655(00)00083-0

Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms

Murk J. Bottema, John P. Slavotinek

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Microcalcifications are detected by fitting a model to every location in the mammogram. Model parameters yielding the best fit are used as features for detection and classification. The fraction of true positive (tp) detection is 60% with 1.23 false detections per cm². The rate of correct classification is 69%.

Original language	English
Pages (from-to)	1209-1214
Number of pages	6
Journal	Pattern Recognition Letters
Volume	21
Issue number	13-14
DOIs	https://doi.org/10.1016/S0167-8655(00)00083-0
Publication status	Published - Dec 2000

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title = "Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms",

abstract = "Microcalcifications are detected by fitting a model to every location in the mammogram. Model parameters yielding the best fit are used as features for detection and classification. The fraction of true positive (tp) detection is 60% with 1.23 false detections per cm2. The rate of correct classification is 69%.",

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AU - Slavotinek, John P.

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AB - Microcalcifications are detected by fitting a model to every location in the mammogram. Model parameters yielding the best fit are used as features for detection and classification. The fraction of true positive (tp) detection is 60% with 1.23 false detections per cm2. The rate of correct classification is 69%.

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JO - Pattern Recognition Letters

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IS - 13-14

ER -

Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms

Abstract

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