Multi-class segmentation of brain tumor using Convolution Neural Network
MetadataShow full item record
In this report a fully Convolution Neural Network (CNN) architecture is used to segment multi-modal Brain Tumors from Magnetic Resonance (MR) images. Due to the challenges in manual segmentation, computerized brain tumor segmentation is one of the most important challenges in medical imaging. The fully convolutional structure of the network makes it faster than any network with a dense fully connected layer. The two phase training and entropy sampling of data makes it easier to learn tumor boundaries and overcome the data imbalance problem.
Showing items related by title, author, creator and subject.
Jnk2 Effects on Tumor Development, Genetic Instability and Replicative Stress in an Oncogene-Driven Mouse Mammary Tumor Model Chen, Peila; O'Neal, Jamye F.; Ebelt, Nancy D.; Cantrell, Michael A.; Mitra, Shreya; Nasrazadani, Azadeh; Vandenbroek, Tracy L.; Heasley, Lynn E.; Van Den Berg, Carla L. (Public Library of Science, 2010-05-03)Oncogenes induce cell proliferation leading to replicative stress, DNA damage and genomic instability. A wide variety of cellular stresses activate c-Jun N-terminal kinase (JNK) proteins, but few studies have directly ...
Cerebellar tumor location as a predictor of neurocognitive functioning among survivors of pediatric brain tumors Mitchell Von Buttlar, Ashlee Beth (2016-12)The literature has clearly demonstrated that the cerebellum serves as a major processing center in the brain for many complex functional pathways ranging from attention and learning to emotions and affect. Research is now ...
Studies of natural vitamin E forms and their synthetic derivatives for potential anticancer application in human breast cancer cell lines and mouse tumor models Park, Sook Kyung (2010-08)Vitamin E is a group of naturally occurring fat soluble compounds which consists of eight distinct forms of tocopherols and tocotrienols. Although a well-defined physiological function of vitamin E is as an antioxidant, ...