Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.04.006
Abstract: This study aimed to analyze the ability of extracting automatically generated features using deep structured algorithms in lung nodule CT image diagnosis, and compare its performance with traditional computer aided diagnosis (CADx) systems using hand-crafted… read more here.
Keywords: diagnosis; lung cancer; structured algorithms; cadx ... See more keywords
Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared to intuitive optical diagnosis.
Sign Up to like & getrecommendations! Published in 2020 at "Endoscopy"
DOI: 10.1055/a-1343-1597
Abstract: BACKGROUND Optical diagnosis of colorectal polyps (CRPs) remains challenging. Imaging enhancement techniques such as narrow band imaging and blue light imaging (BLI) can improve optical diagnosis. We developed and prospectively validated a computer-aided diagnosis system… read more here.
Keywords: optical diagnosis; diagnosis; diagnostic accuracy; bli ... See more keywords
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.493
Abstract: Breast cancer (BC) is one of the most common types of cancer that affects females worldwide. It may lead to irreversible complications and even death due to late diagnosis and treatment. The pathological analysis is… read more here.
Keywords: histo cadx; diagnosis; cancer; cadx ... See more keywords