Performance analysis of deep learning algorithms in diagnosis of malaria disease
Malaria is predominant in many subtropical nations with little health-monitoring
infrastructure. To forecast malaria and condense the disease's impact on the population …
infrastructure. To forecast malaria and condense the disease's impact on the population …
A Systems Biology and LASSO-Based Approach to Decipher the Transcriptome–Interactome Signature for Predicting Non-Small Cell Lung Cancer
Simple Summary Non-small cell lung cancer (NSCLC) is a serious public health issue due
to its high mortality rate. To improve the survival rate of NSCLC with better treatment, it is …
to its high mortality rate. To improve the survival rate of NSCLC with better treatment, it is …
Impact of the Internet of Medical Things on Artificial Intelligence-enhanced medical imaging systems from 2019 to 2023
K Locharoenrat - The Imaging Science Journal, 2024 - Taylor & Francis
This review addresses the disease diagnosis from brain, eye, and lung scan images based
on non-invasive imaging technologies using the Internet of Medical Things (IoMT) and …
on non-invasive imaging technologies using the Internet of Medical Things (IoMT) and …
Lung cancer classification and identification framework with automatic nodule segmentation screening using machine learning
MH Alshayeji, S Abed - Applied Intelligence, 2023 - Springer
Lung cancer is often a fatal disease. To minimize patient mortality, the ability to identify the
nodule malignancy stage from computed tomography (CT) lung scans is critical. Most …
nodule malignancy stage from computed tomography (CT) lung scans is critical. Most …
IoT-enabled Early Detection of Diabetes Diseases Using Deep Learning and Dimensionality Reduction Techniques
T Vaiyapuri, G Alharbi, SM Dharmarajlu… - IEEE …, 2024 - ieeexplore.ieee.org
Chronic diseases, such as diabetes, cause serious challenges worldwide due to their long-
lasting effect on health and quality of life. Diabetes, considered a high glucose level …
lasting effect on health and quality of life. Diabetes, considered a high glucose level …
IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification
Breast cancer classification plays a crucial role in healthcare, especially in the diagnosis
and monitoring of patients. Traditional methods for classifying breast cancer based on …
and monitoring of patients. Traditional methods for classifying breast cancer based on …
[PDF][PDF] Performance Analysis of Deep Learning Algorithms in Diagnosis of Malaria Disease. Diagnostics 2023, 13, 534
Malaria is predominant in many subtropical nations with little health-monitoring
infrastructure. To forecast malaria and condense the disease's impact on the population …
infrastructure. To forecast malaria and condense the disease's impact on the population …