An analysis of convolutional neural network and conventional machine learning for multiclass brain tumor detection

A Yadav, R Kumar, M Gupta - AIP Conference Proceedings, 2024 - pubs.aip.org
Clinical diagnosis now plays a bigger part in today's healthcare system. Since brain cancer
is the deadliest disease in the world, it is a significant concern in the field of medical …

Forces balance in coordinate system of object's existence 3D space

GS Tymchyk, VI Skytsiouk, TR Klotchko… - … , Industry, and High …, 2022 - spiedigitallibrary.org
This work is the result of research and modeling of a set of forces that create the movement
of the object with acceleration in a certain direction. The proposed analytical dependences …

改进的多尺度火焰检测方法.

侯易呈, 王慧琴, 王可 - Chinese Journal of Liquid Crystal & …, 2021 - search.ebscohost.com
网络层数的加深会造成对火焰目标深层特征细节信息表征能力减弱, 同时提取了低相关度的冗余
特征, 导致火焰识别精度不高. 针对该问题, 提出了一种基于改进FasterRGCNN 的火焰检测方法 …

Deep learning model for brain tumour detection

A Yadav, R Kumar, M Gupta - AIP Conference Proceedings, 2024 - pubs.aip.org
A brain tumor signifies an atypical mass of cells within the cerebral structure, encased by the
inflexible cranial bones. The proliferation of tumors within this restricted anatomical region …

A Review of Moving Object Detection Techniques for Night Time

D Dua, A Bhat, A Girdhar - 2023 5th International Conference …, 2023 - ieeexplore.ieee.org
Moving Object Detection in low light conditions is a challenging task due to limited visibility
and the presence of noise and objects in the captured images, low contrast, low brightness …

Background separation based on dual-weighted robust principle component analysis

R He, H Xing, Z Xu, Z Tian, S Wu… - 2021 IEEE 16th …, 2021 - ieeexplore.ieee.org
Robust principal component analysis (RPCA) is a powerful tool for solving background
separation problems. However, the popular RPCA model doesn't make useful of the prior …

Classification of brain tumours in MRI images using convolutional neural network through Cat Swarm Optimization

D VK - Expert Systems, 2022 - Wiley Online Library
In humans, a brain abnormality is a serious illness. Cancer which is the greatest cause of
mortality can develop from the tumour. Magnetic resonance imaging (MRI) is among a more …

[PDF][PDF] A Review on Multiclass Brain Tumor Detection using Convolutional Neural Network and Support Vector Machines

K MANKAR, S MANGEKAR, S SONKAR, R SANTRA… - 2023 - academia.edu
The role of clinical diagnosis in modern healthcare has grown in importance. Brain cancer is
a major concern in the realm of medical imaging since it is the worst illness in the world …

[引用][C] Multi-class brain cancer classification using deep learning convolutional neural network

VK Deepak, R Sarath - PalArch's Journal of Archaeology of Egypt/Egyptology, 2020