Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography
نویسندگان
چکیده
منابع مشابه
A comparison of the accuracy of film-screen mammography, full-field digital mammography, and digital breast tomosynthesis.
AIM To measure the change in diagnostic accuracy of conventional film-screen mammography and full-field digital mammography (FFDM) with the addition of digital breast tomosynthesis (DBT) in women recalled for assessment following routine screening. MATERIALS AND METHODS Ethics approval for the study was granted. Women recalled for assessment following routine screening with screen-film mammog...
متن کاملDigital breast tomosynthesis (DBT) versus full field digital mammography (FFDM): comparison of a system performance using a contrast detail phantom
To evaluate performance (image signal to noise ratio) of a digital mammographic system working in 2D planar versus tomosynthesis modality, a contrast detail phantom was developed embedding 1 cm plexyglas, including 49 holes of different diameter and depth, between two layers containing a breast simulating material. The acquisition protocol included 15 low dose projections (reconstructed 1mm-thi...
متن کاملDigital mammography and tomosynthesis for breast cancer diagnosis.
INTRODUCTION Mammography is one of the most common X-ray examinations although it is well-known that the anatomical background of the breast is the main obstacle when it comes to detection of breast lesions with this method. Tomosynthesis is a three-dimensional radiographic technique which, to a large extent, can suppress the confounding effect of the anatomical background. Tomosynthesis is a s...
متن کاملDetection of breast cancer with full-field digital mammography and computer-aided detection.
OBJECTIVE The purpose of this study was to evaluate computer-aided detection (CAD) performance with full-field digital mammography (FFDM). MATERIALS AND METHODS CAD (Second Look, version 7.2) was used to evaluate 123 cases of breast cancer detected with FFDM (Senographe DS). Retrospectively, CAD sensitivity was assessed using breast density, mammographic presentation, histopathology results, ...
متن کاملAnalysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis.
With IRB approval, digital breast tomosynthesis (DBT) images of human subjects were collected using a GE GEN2 DBT prototype system. Corresponding digital mammograms (DMs) of the same subjects were collected retrospectively from patient files. The data set contained a total of 237 views of DBT and equal number of DM views from 120 human subjects, each included 163 views with microcalcification c...
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ژورنال
عنوان ژورنال: Academic Radiology
سال: 2019
ISSN: 1076-6332
DOI: 10.1016/j.acra.2018.06.019