Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

Annals of Biomedical Engineering
Gopichandh DanalaBin Zheng

Abstract

Contrast-enhanced digital mammography (CEDM) is a promising imaging modality in breast cancer diagnosis. This study aims to investigate how to optimally develop a computer-aided diagnosis (CAD) scheme of CEDM images to classify breast masses. A CEDM dataset of 111 patients was assembled, which includes 33 benign and 78 malignant cases. Each CEDM includes two types of images namely, low energy (LE) and dual-energy subtracted (DES) images. A CAD scheme was applied to segment mass regions depicting on LE and DES images separately. Optimal segmentation results generated from DES images were also mapped to LE images or vice versa. After computing image features, multilayer perceptron based machine learning classifiers that integrate with a correlation-based feature subset evaluator and leave-one-case-out cross-validation method were built to classify mass regions. When applying CAD to DES and LE images with original segmentation, areas under ROC curves (AUC) were 0.759 ± 0.053 and 0.753 ± 0.047, respectively. After mapping the mass regions optimally segmented on DES images to LE images, AUC significantly increased to 0.848 ± 0.038 (p < 0.01). Study demonstrated that DES images eliminated overlapping effect of dense breast tissue, wh...Continue Reading

References

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Citations

Jan 23, 2019·AJR. American Journal of Roentgenology·Yiming GaoLinda Moy
Aug 30, 2019·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Maria Adele MarinoMaxine Jochelson
Jun 13, 2020·Cell Proliferation·Ziyu HeWen Li
Mar 12, 2019·Journal of X-ray Science and Technology·Hui-Hong DuanSheng-Dong Nie
Jan 1, 2019·Visual Computing for Industry, Biomedicine and Art·Bin ZhengGopichandh Danala
Apr 8, 2020·Health Information Science and Systems·Marzieh EsmaeiliKeivan Maghooli
Apr 10, 2021·Radiographics : a Review Publication of the Radiological Society of North America, Inc·William F SensakovicBhavika Patel
May 10, 2021·International Journal of Computer Assisted Radiology and Surgery·Jingqi SongGuocheng Ding
Mar 13, 2019··Gopichandh DanalaMorteza Heidari

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Methods Mentioned

BETA
biopsies
X-ray
biopsy

Software Mentioned

LOCO
SMOTE
ROCKIT
Weka
mathop

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