A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Natalia Antropova; Benjamin Q. Huynh; Maryellen L. Giger

doi:10.1002/mp.12453

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Medical Physics ◽

10.1002/mp.12453 ◽

2017 ◽

Vol 44 (10) ◽

pp. 5162-5171 ◽

Cited By ~ 97

Author(s):

Natalia Antropova ◽

Benjamin Q. Huynh ◽

Maryellen L. Giger

Keyword(s):

Breast Cancer ◽

Cancer Diagnosis ◽

Feature Fusion ◽

Imaging Modality ◽

Breast Cancer Diagnosis ◽

Deep Feature

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Deep Feature Fusion for Breast Cancer Diagnosis on Histopathology Images

2019 11th International Conference on Knowledge and Systems Engineering (KSE) ◽

10.1109/kse.2019.8919462 ◽

2019 ◽

Author(s):

Hung Le Minh ◽

Manh Mai Van ◽

Tran Van Lang

Keyword(s):

Breast Cancer ◽

Cancer Diagnosis ◽

Feature Fusion ◽

Breast Cancer Diagnosis ◽

Deep Feature ◽

Histopathology Images

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Elasto-Mammography: Elastic Property Reconstruction in Breast Tissues

MRS Proceedings ◽

10.1557/proc-874-l6.9 ◽

2005 ◽

Vol 874 ◽

Author(s):

Z. Wang ◽

Y. Liu ◽

L.Z. Sun ◽

G. Wang

Keyword(s):

Breast Cancer ◽

Cancer Diagnosis ◽

Imaging Modality ◽

Breast Cancer Diagnosis ◽

Reconstruction Method ◽

Breast Cancers ◽

Primary Method ◽

Conventional Mammography ◽

Breast Tissues ◽

Higher Sensitivity

AbstractMammography is the primary method for screening and detecting breast cancers. However, it frequently fails to detect small tumors and is not quite specific in terms of tumor benignity and malignancy. The objective of this paper is to develop a new imaging modality called elastomammography that generates the modulus elastograms based conventional mammographs. A new elastic reconstruction method is described based on elastography and mammography for breast tissues. Elastic distribution can be reconstructed through the measurement of displacement provided by mammographic projection. It is shown that the proposed elasto-mammography provides higher sensitivity and specificity than the conventional mammography on its own for breast cancer diagnosis.

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