Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution.
Yuchen WangZe JinYukiko TokudaYasuto NaoiNoriyuki TomiyamaKenji SuzukiPublished in: ICCPR (2019)
Keyphrases
- mr images
- breast cancer
- deep learning
- medical images
- accurate segmentation
- magnetic resonance
- computer aided diagnosis
- brain tumors
- manual segmentation
- magnetic resonance images
- dce mri
- segmentation accuracy
- mri data
- logistic regression
- anatomical structures
- prostate cancer
- image data
- automatic segmentation
- medical imaging
- medical image analysis
- machine learning
- shape prior
- cad systems
- image segmentation
- breast tissue
- deformable models
- level set
- clinical data
- magnetic resonance imaging
- ct images
- segmentation algorithm
- unsupervised learning
- image processing
- ct scans
- multiscale
- training data