Classifying brain tumors on magnetic resonance imaging by using convolutional neural networks

MA Gómez-Guzmán, L Jiménez-Beristaín… - Electronics, 2023 - mdpi.com
The study of neuroimaging is a very important tool in the diagnosis of central nervous system
tumors. This paper presents the evaluation of seven deep convolutional neural network …

CNN–RNN network integration for the diagnosis of COVID-19 using chest X-ray and CT images

I Kanjanasurat, K Tenghongsakul, B Purahong… - Sensors, 2023 - mdpi.com
The 2019 coronavirus disease (COVID-19) has rapidly spread across the globe. It is crucial
to identify positive cases as rapidly as humanely possible to provide appropriate treatment …

Deep transfer learning for chronic obstructive pulmonary disease detection utilizing electrocardiogram signals

I Moran, DT Altilar, MK Ucar, C Bilgin… - IEEE Access, 2023 - ieeexplore.ieee.org
The motivation of this research is to introduce the first research on automated Chronic
Obstructive Pulmonary Disease (COPD) diagnosis using deep learning and the first …

Multimodal Brain Tumor Classification Using Convolutional Tumnet Architecture

MP Usha, G Kannan… - Behavioural Neurology, 2024 - Wiley Online Library
The most common and aggressive tumor is brain malignancy, which has a short life span in
the fourth grade of the disease. As a result, the medical plan may be a crucial step toward …

A Transfer Learning-Based Model for Brain Tumor Detection in MRI Images

FR Hencya, S Mandala, TB Tang… - Jurnal Nasional Teknik …, 2023 - jnte.ft.unand.ac.id
Brain tumors are life-threatening medical conditions characterized by abnormal cell
proliferation in or near the brain. Early detection is crucial for successful treatment. However …

Brain Tumor Detection by Image Segmentation Using Customized UNet Deep Learning Based Model

TMAUH Bhuivan, MAH Wadud, N Amie… - … and Information & …, 2024 - ieeexplore.ieee.org
Human brain is the most valuable organ that perform the most critical thinking and get the
best solution methodology for real life problem. So, proper care should be taken to keep this …

[PDF][PDF] Deep Learning Based Vehicle Detection and Counting System for Intelligent Transportation.

A Vikram, A Jothi, S Ahmad, LJ Rubini… - Comput. Syst. Sci …, 2024 - researchgate.net
Traffic monitoring through remote sensing images (RSI) is considered an important research
area in Intelligent Transportation Systems (ITSs). Vehicle counting systems must be simple …

PrinciResnet Brain Tumor Classification Technique for Multimodal Input-level Fusion Network

G Kannan, S Akshay, S Huzaifa - International Journal of …, 2023 - journal.uob.edu.bh
Brain tumors are a leading cause of mortality in India, with over 28,000 cases reported
annually, resulting in more than 24,000 deaths per year, according to the International …

Brain tumor magnetic resonance images enhanced by hybrid method based on deep learning paradigm

M Gül, Y Kaya - 2023 - researchsquare.com
The development of software engineering has given very successful results in the field of
medical diagnosis in recent years. Deep learning and machine learning applications give …