A generative adversarial network for synthetization of regions of interest based on digital mammograms
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-09929-9
Abstract: Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the use of enormous training data,… read more here.
Keywords: generative adversarial; performance; digital mammograms; based digital ... See more keywords
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms
Sign Up to like & getrecommendations! Published in 2019 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2019/2717454
Abstract: Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their… read more here.
Keywords: diagnosis; feature sets; calcification; deep features ... See more keywords