An overview and application of deep convolutional neural networks for medical image segmentation

S Patel - 2023 Third International Conference on Artificial …, 2023 - ieeexplore.ieee.org
Medical imaging technologies are widely utilized as a non-invasive diagnostic process that
helps professionals identify diseases and injuries. Convolutional neural networks (CNNs) …

[HTML][HTML] An assessment of machine learning algorithms in diagnosing cardiovascular disease from right ventricle segmentation of cardiac magnetic resonance images

A Bhan, P Mangipudi, A Goyal - Healthcare Analytics, 2023 - Elsevier
Healthcare research shows early detection of cardiovascular disease (CVD) is the key to
saving the lives of patients suffering from CVDs. Furthermore, recent studies show the Right …

Spine Deformity Assessment for Scoliosis Diagnostics Utilizing Image Processing Techniques: A Systematic Review

NN Amran, KS Basaruddin, MF Ijaz, H Yazid… - Applied Sciences, 2023 - mdpi.com
Spinal deformity refers to a range of disorders that are defined by anomalous curvature of
the spine and may be classified as scoliosis, hypo/hyperlordosis, or hypo/hyperkyphosis …

Assessing CNN and semantic segmentation models for coarse resolution satellite image classification in subcontinental scale land cover mapping

T Adugna, W Xu, J Fan, H Jia… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Based on studies using high-medium resolution images, convolutional neural networks
(CNNs) and semantic segmentation have shown superiority over classical machine learning …

[HTML][HTML] Semantic segmentation of optical satellite images for the illegal construction detection using transfer learning

Y Mehta, A Baz, SK Patel - Results in Engineering, 2024 - Elsevier
As urban populations grow, the demand for new infrastructure intensifies. However, some
builders often neglect to obtain necessary permits, resulting in unstable structures that …

RETRACTED ARTICLE: Anomaly Detection of High-Speed Railway Catenary Damage

Y Gong, W Jing - IETE Journal of Research, 2023 - Taylor & Francis
The Railway Catenary system is an integral and essential component of railway
electrification. The working state of the catenary system can directly affect the normal …

Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs

M Durmuş, B Ergen, A Çelebi, M Türkoğlu - IEEE Access, 2024 - ieeexplore.ieee.org
Accurate detection of impacted teeth in panoramic radiographs is critical for effective
diagnosis and treatment planning in dentistry. Traditional segmentation methods often face …

Multiple sclerosis segmentation using deep learning models: Comparative study

A Alrabai, A Echtioui, AB Hamida - 2022 6th International …, 2022 - ieeexplore.ieee.org
Central Nervous System (CNS) has directly been affected by many demyelination diseases.
Multiple Sclerosis (MS) is one among these diseases. Such a series pathologies could be …

Performance Analysis of VGG-16 Deep Learning Model for COVID-19 Detection using Chest X-Ray Images

SC Emmadi, MR Aerra, S Bantu - 2023 10th International …, 2023 - ieeexplore.ieee.org
COVID-19 is an infectious disease caused by newly discovered coronavirus. Currently, RT-
PCR and Rapid Testing are used to test a person against COVID-19. These methods do not …

Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection

I Mahmud, MM Kabir, J Shin, C Mistry, Y Tomioka… - IEEE …, 2023 - ieeexplore.ieee.org
Train incidents with animals and even humans have gotten more attention in the past. Every
year, thousands of animals are killed on train tracks, causing an imbalance in the ecosystem …