Pneumonia detection proposing a hybrid deep convolutional neural network based on two parallel visual geometry group architectures and machine learning …

M Yaseliani, AZ Hamadani, AI Maghsoodi… - IEEE …, 2022 - ieeexplore.ieee.org
Pneumonia is an acute respiratory infection that has led to significant deaths of people
worldwide. This lung disease is more common in people older than 65 and children under …

The application of deep learning for the segmentation and classification of coronary arteries

Ş Kaba, H Haci, A Isin, A Ilhan, C Conkbayir - Diagnostics, 2023 - mdpi.com
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …

[HTML][HTML] An intelligent algorithm for lung cancer diagnosis using extracted features from Computerized Tomography images

N Maleki, STA Niaki - Healthcare Analytics, 2023 - Elsevier
Abstract According to the World Health Organization, lung cancer is a leading cause of
death worldwide. This research aims to process the Computerized Tomography (CT) images …

Unraveling ml models of emotion with nova: Multi-level explainable ai for non-experts

A Heimerl, K Weitz, T Baur… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we introduce a next-generation annotation tool called NOVA for emotional
behaviour analysis, which implements a workflow that interactively incorporates the 'human …

Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images

Q Lin, T Li, C Cao, Y Cao, Z Man, H Wang - Scientific Reports, 2021 - nature.com
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and
preventing various serious diseases. The automated classification of medical images is …

The epidemiology of automatic skin cancer detection by comparative analysis of pre-processing and segmentation techniques

P Thapar, M Rakhra, A Singh - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Skin cancer is growing more widespread in many nations and is affecting a considerable
number of individuals worldwide, including in Australia. Melanoma is a malignant skin …

Automatic defect detection for fabric printing using a deep convolutional neural network

S Chakraborty, M Moore… - International Journal of …, 2022 - Taylor & Francis
Defect detection is a crucial step in textile and apparel quality control. An efficient defect
detection system can ensure the overall quality of the processes and products that are …

Screening Autism Spectrum Disorder in childrens using Deep Learning Approach: Evaluating the classification model of YOLOv8 by comparing with other models

S Gautam, P Sharma, K Thapa, MD Upadhaya… - arXiv preprint arXiv …, 2023 - arxiv.org
Autism spectrum disorder (ASD) is a developmental condition that presents significant
challenges in social interaction, communication, and behavior. Early intervention plays a …

Data augmentation for imbalanced HRRP recognition using deep convolutional generative adversarial network

Y Song, Y Li, Y Wang, C Hu - IEEE Access, 2020 - ieeexplore.ieee.org
In radar high-resolution range profile (HRRP) recognition, the recognition accuracy will
decline when the training samples in some classes (majority classes) greatly outnumbers …

Optimizer analysis on efficient-net architecture for Alzheimer's classification based on magnetic resonance imaging (MRI)

YF Pranata, R Magdalena, NKC Pratiwi - AIP Conference Proceedings, 2023 - pubs.aip.org
Alzheimer's can permanently destroy brain cells that are involved in memory and thinking
ability. Alzheimer's is a neurological disease that has a major influence on sufferers' life …