[PDF][PDF] A review on detecting brain tumors using deep learning and magnetic resonance images.

NQ Al-Ani, O Al-Shamma - International Journal of Electrical & …, 2023 - academia.edu
Early detection and treatment in the medical field offer a critical opportunity to survive
people. However, the brain has a significant role in human life as it handles most human …

Critical analysis of the current medical image-based processing techniques for automatic disease evaluation: systematic literature review

BM Rashed, N Popescu - Sensors, 2022 - mdpi.com
Medical image processing and analysis techniques play a significant role in diagnosing
diseases. Thus, during the last decade, several noteworthy improvements in medical …

Implementing a novel low complexity CNN model for brain tumor detection

N Al-Ani, O Al-Shamma - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
All over the world, thousands of people die yearly from brain tumor disease. It is considered
a life-threatening, prominent, and serious disease. Thus, saving people-life requires …

Automated human facial emotion recognition system using depthwise separable convolutional neural network

AM Hashan, KASA Adhab, RMRU Islam… - … on Industry 4.0 …, 2023 - ieeexplore.ieee.org
The automatic human facial emotion recognition (AHFER) system has its wide significant
contribution in several disciplines, such as human-computer collaboration, human-robot …

Apple leaf disease classification using image dataset: A multilayer convolutional neural network approach

AM Hashan, RMRU Islam, K Avinash - Информатика и автоматизация, 2022 - ia.spcras.ru
Agriculture is one of the prime sources of economic growth in Russia; the global apple
production in 2019 was 87 million tons. Apple leaf diseases are the main reason for annual …

Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App

AS Sri, BV Reddy, K Balakrishna… - … on Recent Trends in …, 2023 - ieeexplore.ieee.org
This article presents Multi-modal MRI scans used to classify brain tumors according to their
size and imaging appearance. Object detection has been significantly improved by utilizing …

Apple leaf disease classification using image dataset: a multilayer convolutional neural network approach

A Mahamudul Hashan, R Md Rakib Ul Islam… - Информатика и …, 2022 - mathnet.ru
Agriculture is one of the prime sources of economic growth in Russia; the global apple
production in 2019 was 87 million tons. Apple leaf diseases are the main reason for annual …

Brain Tumor Detection with Ensemble of Convolutional Neural Networks and Vision Transformer

M Yurdakul, Ş TAŞDEMİR - 2023 2nd International Engineering …, 2023 - ieeexplore.ieee.org
Brain tumors are recognized as one of the most lethal cancer types worldwide. Detecting
brain tumors using medical imaging techniques is a challenging task due to their complex …

A Review of Brain Tumor MRI Classification and Feature Extraction Using Varying Methods

SK Agarwal, YK Gupta - International Conference on Communication and …, 2023 - Springer
Early detection of brain tumors is critical for saving human lives. MRI is generally used in
medical imaging for diagnosing and classifying brain tumors. However, the classification of …

MRI-based tumour prediction based on U-Net and VGG-Net

S Sihare, M Dixit - 2022 International Conference on Edge …, 2022 - ieeexplore.ieee.org
In the detection and treatment of life-threatening disorders, biomedical technology plays a
critical role. Brain tumours have recently become one of the most frequent and dangerous …