Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67.
Matheus del-ValleEmerson Soares BernardesDenise Maria ZezellPublished in: CoRR (2023)
Keyphrases
- breast cancer
- convolutional neural network
- breast cancer detection
- early detection
- logistic regression
- computer aided diagnosis
- diagnosis of breast cancer
- breast cancer diagnosis
- computer aided detection
- survival analysis
- face detection
- mammogram images
- image analysis
- cad systems
- cancer patients
- dce mri
- breast cancer patients
- neural network
- pairwise