… , especially in the diagnosis of tumor. MRI creates a 3D image which perfectly visualizes
anatomic structures of the brain such as brain tissues and brain tumors if existing. The …

… We train the models using … use the Caffe deep learning library and CaffeOnSpark; the latter
is a powerful open source framework for distributed learning that brings Caffe deep learning …

… Accurate segmentation of breast cancer is an important step for computer-aided diagnosis.
In … His research interest covers machine learning, pattern recognition and their application in …

… 英文摘要 At present, deep learning is widely used in medical … automatic and precise
segmentation of brain tumors. In order to … and perform brain tumor segmentation, and use the …

… A computer-aided diagnosis system for glioma grading using three dimensional texture
analysis and machine learning in MRI brain tumour [C]. International Conference on Bio-…

… : The brain is the important part of central nervous system of the human being where brain
tumor seriously … [3] first put forward a deep learning method which is different from shallow …

… , and clinical diagnosis and treatment. This paper reviews the methods of brain tumor image
… image segmentation and methods based on deep learning and some typical methods. The …

… Brain tumor detection and segmentation in a CRF(conditional random fields)framework
with pixel-pairwise affinity and superpixel-level features[J]. International Journal of Computer …

… problem of MRI brain image segmentation, and it significantly advances the development of
deep learning-based brain tumor diagnosis methods. As a result, deep learning method is to …

… to review deep learning-based MRI brain tumor … brain tumor segmentation problem,we
comprehensively summarize and analyze the existing deep learning methods for MRI brain tumor …