Inter - intra observer variability using deep learning and traditional image processing for breast cancer.
Ahmed AlmazroaBarrak AlsomaieNajd AlluhaydanAmal AlhaidaryMohammed FahimWadood AbdulMohammed AlawadAltaf KhanEbtihal AleneziTaghreed almotairiAlJowharah AlyahyaRaghad AlfulayjManar AlthobaitiJawaher bin MaythirPublished in: DeSE (2020)
Keyphrases
- breast cancer
- deep learning
- image processing
- computer aided diagnosis
- unsupervised learning
- diagnosis of breast cancer
- logistic regression
- machine learning
- breast cancer diagnosis
- pattern recognition
- weakly supervised
- computer vision
- bladder cancer
- mental models
- computer aided
- feature extraction
- medical imaging
- decision support
- color images
- multiscale
- image segmentation
- data mining
- data sets
- natural language processing
- image registration
- image analysis
- object recognition
- breast tissue
- mammogram images
- decision trees