A Deep Learning based Brain Tumour Detection using Multimodal MRI Images

R Jansi, S Kowsalya, S Seetha… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Unchecked and fast cell proliferation leads to brain tumors. Death could result if the
condition is not treated in the beginning stages. The variety of tumor location, shape, and …

Automated Classification of Multiclass Brain Tumor MRI Images using Enhanced Deep Learning Technique.

FA Razi, A Bustamam, AL Latifah… - International Journal of …, 2023 - search.ebscohost.com
The brain is a vital organ, and the brain tumor is one of the most dangerous types of tumors
in the world. Neuroimaging is an interesting and important discussion in diagnosing central …

Alzheimer Disease Detection using Deep Learning

R Singh, C Prabha, HM Dixit… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Alzheimer's disease represents a significant global health challenge, with accurate
diagnosis being a critical factor in effective treatment. MRI has emerged as a potent tool for …

Evaluation And Selection Of Optimal Deep Learning Architecture For Predicting The Endpoint In High Shear Wet Granulation For Antacid Tablet Production

I Maulana, A Yanuar, S Sutriyo… - Eduvest-Journal of …, 2024 - eduvest.greenvest.co.id
Objective: The purpose of this research was to evaluate and select the best architecture
among native convolutional neural network (CNN), MobileNetV2, ResNet50V2, and …

Utilizing Pretrained Models to Enhance Hybrid Neural Networks in Low Data Situations

RL Borah, G Nandi - 2024 - researchsquare.com
Marine ecosystems are vital to the survival of life on Earth, but they are difficult to monitor
and comprehend due to their complexity. Evaluating biodiversity and ecological health is …

Automated Classification of Multiclass Brain Tumor MRI Images using Enhanced Deep Learning

FA Razi, A Bustamam, AL Latifah, S Ahmad - search.proquest.com
The brain is a vital organ, and the brain tumor is one of the most dangerous types of tumors
in the world. Neuroimaging is an interesting and important discussion in diagnosing central …