[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress

J Srivastava, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …

A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection

AS Neethi, SK Kannath, AA Kumar, J Mathew… - … Applications of Artificial …, 2024 - Elsevier
Hemorrhagic stroke poses a critical medical emergency that necessitates prompt and
accurate diagnosis to prevent irreversible brain damage. The emergence of automated deep …

Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm

O Ozaltin, O Coskun, O Yeniay… - International Journal of …, 2023 - Wiley Online Library
Classification of brain hemorrhage computed tomography (CT) images provides a better
diagnostic implementation for emergency patients. Attentively, each brain CT image must be …

Automated computer-aided detection and classification of intracranial hemorrhage using ensemble deep learning techniques

S Umapathy, M Murugappan, D Bharathi, M Thakur - Diagnostics, 2023 - mdpi.com
Diagnosing Intracranial Hemorrhage (ICH) at an early stage is difficult since it affects the
blood vessels in the brain, often resulting in death. We propose an ensemble of …

Classification of diseases from CT images using LSTM-based CNN

SR Chowdhury, Y Khare, S Mazumdar - Diagnostic Biomedical Signal and …, 2023 - Elsevier
Computed tomography (CT) scans are now widely used in the field of medical diagnosis for
tracking diseases such as cancer, tumor, blood clots, heart diseases, emphysema, or liver …

Ischemia and Hemorrhage detection in CT images with Hyper parameter optimization of classification models and Improved UNet Segmentation Model

M Okuyar, AF Kamanlı - Sakarya University Journal of …, 2023 - saucis.sakarya.edu.tr
Deep learning is a powerful technique that has been applied to the task of stroke detection
using medical imaging. Stroke is a medical condition that occurs when the blood supply to …

Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey

SH Hosseini, AH Taherinia, M Saadatmand - arXiv preprint arXiv …, 2023 - arxiv.org
Nowadays, pulmonary Computed Tomography Angiography (CTA) is the main tool for
detecting Pulmonary Embolism (PE). However, manual interpretation of CTA volume …

Advancing Brain Lesion Classification in CT Images: A Transfer Learning Approach with Convolutional Neural Networks

T Ramya, UL Marksia, RV Suseela… - 2023 3rd …, 2023 - ieeexplore.ieee.org
This study presents a novel hybrid deep learning approach for precise segmentation and
detection of various types of brain lesions in CT images, with a particular emphasis on …

The Healthcare IoTs as a Paradigm Shift in Healthcare Management, Patient Treatment, and Healthcare Data Processing.

AK Chandanan, PR Sikdar, C Raja… - Journal of Intelligent …, 2024 - search.ebscohost.com
When it comes to hospital administration, patient care, and medical data analysis, the
Healthcare Internet of Things (HIoT) is nothing short of a paradigm revolution. We dive into …

The Healthcare Internet of Things as a Paradigm Shift in Hospital Management, Patient Care, and Medical Data Analysis

S Kaliappan, M Muthukannan… - … Conference on ICT …, 2023 - ieeexplore.ieee.org
When it comes to hospital administration, patient care, and medical data analysis, the
Healthcare Internet of Things (HIoT) is nothing short of a paradigm revolution. We dive into …