SCREENet: A multi-view deep convolutional neural network for classification of high-resolution synthetic mammographic screening scans
S Seyyedi, MJ Wong, DM Ikeda… - arXiv preprint arXiv …, 2020 - arxiv.org
Purpose: To develop and evaluate the accuracy of a multi-view deep learning approach to
the analysis of high-resolution synthetic mammograms from digital breast tomosynthesis …
the analysis of high-resolution synthetic mammograms from digital breast tomosynthesis …
A novel framework for accurate and non-invasive pulmonary nodule diagnosis by integrating texture and contour descriptors
An accurate computer aided diagnostic (CAD) system is very significant and critical for early
detection of lung cancer. A new framework for lung nodule classification is proposed in this …
detection of lung cancer. A new framework for lung nodule classification is proposed in this …