2020
DOI: 10.22456/2175-2745.89115
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PHOC Descriptor Applied for Mammography Classification

Abstract: This paper describes experiments with PHOC (Pyramid Histogram of Color) features descriptor in terms of capacity for representing features presented in breast radiograph (also known as mammography). Patches were taken from regions in digital mammographies, representing benign, cancerous, normal tissues and image’s background. The motivation is to evaluate the proposal in perspective of using it for execution in an inexpensive ordinary desktop computer in places located far from medical experts. The images were… Show more

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Cited by 3 publications
(2 citation statements)
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“…(1) studies where only normal and abnormal classes are considered [16] (2) where benign and malignant classes are considered [1,4,4,6,8,8] and (3) where all three classes (normal, benign and malignant) are considered [10,12,14].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…(1) studies where only normal and abnormal classes are considered [16] (2) where benign and malignant classes are considered [1,4,4,6,8,8] and (3) where all three classes (normal, benign and malignant) are considered [10,12,14].…”
Section: Related Workmentioning
confidence: 99%
“…The authors used a combination of FOS and GLRLM features as input to nine different classifiers. Reference [14] proposes the extraction of features from the spatial pyramid and called Pyramid Histogram of Colors. Feeding an ANN with the calculated features, 82.1% AUC was achieved.…”
Section: Related Workmentioning
confidence: 99%