Computer-aided hepatocellular carcinoma detection on the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging using a convolutional neural network: Feasibility evaluation with multi-sequence data.
Yongwon ChoYeo Eun HanMin Ju KimBeom Jin ParkKi Choon SimDeuk Jae SungNa Yeon HanYang Shin ParkPublished in: Comput. Methods Programs Biomed. (2022)
Keyphrases
- computer aided
- sequence data
- magnetic resonance imaging
- breast mri
- convolutional neural network
- phase unwrapping
- medical images
- mri data
- computer aided diagnosis
- lesion segmentation
- medical imaging
- computer assisted
- magnetic resonance images
- sequence classification
- image analysis
- mri images
- automatic detection
- differential diagnosis
- computer aided design
- detection algorithm
- positron emission tomography
- prostate cancer
- process planning
- profile hidden markov models
- diagnosis of breast cancer
- neural network
- detection method
- object detection
- image processing
- machine learning
- imaging modalities
- medical diagnosis
- ct images
- pattern recognition