Convolutional neural network based Alzheimer's disease classification from magnetic resonance brain images
Alzheimer's disease, the most common form of dementia is a neurodegenerative brain order
that has currently no cure for it. Hence, early diagnosis of such disease using computer …
that has currently no cure for it. Hence, early diagnosis of such disease using computer …
[PDF][PDF] RETRACTED ARTICLE: An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
The objective of this study is to propose an alternative, hybrid solution method for
diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is …
diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is …
RETRACTED ARTICLE: Classification of stroke disease using machine learning algorithms
P Govindarajan, RK Soundarapandian… - Neural Computing and …, 2020 - Springer
This paper presents a prototype to classify stroke that combines text mining tools and
machine learning algorithms. Machine learning can be portrayed as a significant tracker in …
machine learning algorithms. Machine learning can be portrayed as a significant tracker in …
[PDF][PDF] Brain stroke computed tomography images analysis using image processing: A review
Brain is a hugely complex and fascinating organ in the human body composing of cerebrum,
cerebellum, and brainstem that being protected by the skull [1]. This organ is composed of a …
cerebellum, and brainstem that being protected by the skull [1]. This organ is composed of a …
RETRACTED ARTICLE: Automatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural …
PM Shakeel, A Tolba, Z Al-Makhadmeh… - Neural Computing and …, 2020 - Springer
Today, most of the people are affected by lung cancer, mainly because of the genetic
changes of the tissues in the lungs. Other factors such as smoking, alcohol, and exposure to …
changes of the tissues in the lungs. Other factors such as smoking, alcohol, and exposure to …
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
This project aimed to develop and evaluate a fast and fully-automated deep-learning
method applying convolutional neural networks with deep supervision (CNN-DS) for …
method applying convolutional neural networks with deep supervision (CNN-DS) for …
[Retracted] Classification of Alzheimer's Disease Using Gaussian‐Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people,
and it is often challenging to use traditional manual procedures when diagnosing a disease …
and it is often challenging to use traditional manual procedures when diagnosing a disease …
Modified genetic algorithm approaches for classification of abnormal magnetic resonance brain tumour images
DJ Hemanth, J Anitha - Applied Soft Computing, 2019 - Elsevier
Genetic Algorithm (GA) is one of the bio-inspired optimization techniques available for
practical applications. The increasing necessity for bio-inspired optimization techniques has …
practical applications. The increasing necessity for bio-inspired optimization techniques has …
Deep learning-enhanced internet of medical things to analyze brain ct scans of hemorrhagic stroke patients: a new approach
Stroke is among the first pathologies that kill the most in the world, ranking second in deaths
from illness. Each year, around 16 million people worldwide are victims of this disease, with …
from illness. Each year, around 16 million people worldwide are victims of this disease, with …
Internet of medical things—based on deep learning techniques for segmentation of lung and stroke regions in CT scans
T Han, VX Nunes, LFDF Souza, AG Marques… - IEEE …, 2020 - ieeexplore.ieee.org
The classification and segmentation of pathologies through intelligent systems is a
significant challenge for medical image analysis and computer vision systems. Diseases …
significant challenge for medical image analysis and computer vision systems. Diseases …