DeepAI AI Chat
Log In Sign Up

A Volumetric Convolutional Neural Network for Brain Tumor Segmentation

by   Ryan Sherman, et al.

Brain cancer can be very fatal, but chances of survival increase through early detection and treatment. Doctors use Magnetic Resonance Imaging (MRI) to detect and locate tumors in the brain, and very carefully analyze scans to segment brain tumors. Manual segmentation is time consuming and tiring for doctors, and it can be difficult for them to notice extremely small abnormalities. Automated segmentations performed by computers offer quicker diagnoses, the ability to notice small details, and more accurate segmentations. Advances in deep learning and computer hardware have allowed for high-performing automated segmentation approaches. However, several problems persist in practice: increased training time, class imbalance, and low performance. In this paper, I propose applying V-Net, a volumetric, fully convolutional neural network, to segment brain tumors in MRI scans from the BraTS Challenges. With this approach, I achieve a whole tumor dice score of 0.89 and train the network in a short time while addressing class imbalance with the use of a dice loss layer. Then, I propose applying an existing technique to improve automated segmentation performance in practice.


A Review on Automated Brain Tumor Detection and Segmentation from MRI of Brain

Tumor segmentation from magnetic resonance imaging (MRI) data is an impo...

Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum

Segmentationand parcellation of the brain has been widely performed on b...

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT

Analyzing knee cartilage thickness and strain under load can help to fur...

A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction

The segmentation of diseases is a popular topic explored by researchers ...

Brain Cancer Segmentation Using YOLOv5 Deep Neural Network

An expansion of aberrant brain cells is referred to as a brain tumor. Th...

Extended 2D Volumetric Consensus Hippocampus Segmentation

Hippocampus segmentation plays a key role in diagnosing various brain di...

Comprehensive study of good model training for prostate segmentation in volumetric MRI

Prostate cancer was the third most common cancer in 2020 internationally...