Brain tumor detection model based on CNN and threshold segmentation
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 32, Issue 3
Abstract
Brain tumours pose a substantial global health issue, emphasising the criticality of timely and precise identification to ensure optimal treatment outcomes. This research introduces an innovative methodology for the identification of brain tumours by employing a fusion of Convolutional Neural Networks (CNNs) with threshold segmentation techniques. The objective of the suggested model is to improve the precision and effectiveness of brain tumour identification in medical imaging, namely Magnetic Resonance Imaging (MRI) scans. Fast and precise diagnosis is necessary in the medical profession for effective treatment, but current technologies lack this capability. For successful therapy, it is therefore necessary to develop an effective diagnosis application. Global threshold segmentation for pre-processing is used in this study. Image capture and de-noising were completed in the first stage, while classification and regression were completed in the second stage using ML approaches. A computer-aided automated identification method is the computational technique used in this study. This investigation uses one hundred twenty (120) brain scans from a real-time MRI brain database, of them 15 normal and 105 abnormal. According to performance metrics, the accuracy of training and testing pictures was 99.46%. Comparing this method to recently published methods, it is determined that LR-ML with the threshold segmentation has a rapid, precise brain diagnostic system.
Authors and Affiliations
Jaishree Jain, Shashank Sahu, Ashish Dixit
Keywords
Related Articles
- EP ID EP720681
- DOI 10.52756/ijerr.2023.v32.031
- Views 66
- Downloads 0
Spatial Arrangement in Pearl Millet-groundnut Intercropping System Influences Productivity, Competition and Economics
Pearl millet (Pennisetum glaucum L.) is the sixth major grown crop next to wheat, rice, corn, barley and sorghum in the world. Pearl millet has a wider adaptability for different agroclimatic conditions and seasons, and...
The amount of fair remuneration determined on the basis of the theory of measuring human capital
The aim of the article is to compare the amount of remuneration expected by employees with the salary determined on the basis of the economic constant of potential growth. Using the theory of human capital, we are able t...
Effectiveness of Capacity Building Programme on Competency of Electrocardiogram (ECG) Interpretation Among Critical Care Nurses
This study investigates the effects of a capacity-building programme on the competency of ECG interpretation among critical care nurses. Electrocardiogram (ECG) interpretation is a fundamental clinical skill essential fo...
Facial Expression Analysis Using Multi-label Classification
Emotions form the reflection of an individual's mental state. Automatic expression analysis and its recognition based on their facial landmarks are of critical use, particularly to understand the emotional states of phys...
Comparative assessment of foraging strategies in ants: A preliminary experimental study
The study of foraging behaviour in ants is a special challenge to entomologists and insect biologist as they usher a lot of distinct phenomenon modulations like food preferences, competition, bait monopolization, memory...