Assistive Diagnostic Tool for Brain Tumor Detection using Computer Vision

11/17/2020
by   Sahithi Ankireddy, et al.
0

Today, over 700,000 people are living with brain tumors in the United States. Brain tumors can spread very quickly to other parts of the brain and the spinal cord unless necessary preventive action is taken. Thus, the survival rate for this disease is less than 40 diagnosis of a brain tumor could be the difference between life and death for some. However, brain tumor detection and segmentation are tedious and time-consuming processes as it can only be done by radiologists and clinical experts. The use of computer vision techniques, such as Mask R Convolutional Neural Network (Mask R CNN), to detect and segment brain tumors can mitigate the possibility of human error while increasing prediction accuracy rates. The goal of this project is to create an assistive diagnostics tool for brain tumor detection and segmentation. Transfer learning was used with the Mask R CNN, and necessary parameters were accordingly altered, as a starting point. The model was trained with 20 epochs and later tested. The prediction segmentation matched 90 perform at a high level. Once the model was finalized, the application running on Flask was created. The application will serve as a tool for medical professionals. It allows doctors to upload patient brain tumor MRI images in order to receive immediate results on the diagnosis and segmentation for each patient.

READ FULL TEXT

page 2

page 3

research
12/22/2020

QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors

Non-invasive techniques such as magnetic resonance imaging (MRI) are wid...
research
04/02/2021

Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet

In this work, we develop an attention convolutional neural network (CNN)...
research
01/26/2021

A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction

Glioma is the most deadly brain tumor with high mortality. Treatment pla...
research
10/13/2022

MACHINE INTELLIGENCE FOR BRAIN SEGMENTATION: A TOOL TO IDENTIFY BRAIN ILLNESSES THROUGH SEGMENTATION

Machine Learning is becoming a prominent force in the medical field. We ...
research
12/27/2022

Brain Cancer Segmentation Using YOLOv5 Deep Neural Network

An expansion of aberrant brain cells is referred to as a brain tumor. Th...
research
05/10/2023

Brain Tumor Detection using Swin Transformers

The first MRI scan was done in the year 1978 by researchers at EML Labor...

Please sign up or login with your details

Forgot password? Click here to reset