Author:
Pekis Arda,Kannan Vignesh,Kaklamanos Evandros,Antony Anu,Patel Snehal,Earnest Tyler
Reference33 articles.
1. Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics
2. Zhang, L., Luo, Z., Chai, R., Arefan, D., Sumkin, J., and Wu, S., “Deep-learning method for tumor segmentation in breast dce-mri,” in [Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications], Bak, P. R. and Chen, P.-H., eds., 14, SPIE, San Diego, United States (Mar. 2019).
3. Radiologist-level performance by using deep learning for segmentation of breast cancers on mri scans;Hirsch;Radiology: Artificial Intelligence,2022
4. 3D Multi-parametric Breast MRI Segmentation Using Hierarchical Support Vector Machine with Coil Sensitivity Correction