Computer-aided detection and classification of monkeypox and chickenpox lesion in human subjects using deep learning framework
Monkeypox is a zoonotic viral disease caused by the monkeypox virus. After its recent
outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce …
outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce …
Application of image recognition technology in pathological diagnosis of blood smears
W Cheng, J Liu, C Wang, R Jiang, M Jiang… - Clinical and Experimental …, 2024 - Springer
Traditional manual blood smear diagnosis methods are time-consuming and prone to errors,
often relying heavily on the experience of clinical laboratory analysts for accuracy. As …
often relying heavily on the experience of clinical laboratory analysts for accuracy. As …
[HTML][HTML] Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review
Malaria is a disease that affects millions of people worldwide with a consistent mortality rate.
The light microscope examination is the gold standard for detecting infection by malaria …
The light microscope examination is the gold standard for detecting infection by malaria …
Mathematical assessment of machine learning models used for brain tumor diagnosis
The brain is an intrinsic and complicated component of human anatomy. It is a collection of
connective tissues and nerve cells that regulate the principal actions of the entire body …
connective tissues and nerve cells that regulate the principal actions of the entire body …
Autokeras approach: A robust automated deep learning network for diagnosis disease cases in medical images
Automated deep learning is promising in artificial intelligence (AI). However, a few
applications of automated deep learning networks have been made in the clinical medical …
applications of automated deep learning networks have been made in the clinical medical …
Development of a Novel Multi-Modal Contextual Fusion Model for Early Detection of Varicella Zoster Virus Skin Lesions in Human Subjects
Skin lesion detection is crucial in diagnosing and managing dermatological conditions. In
this study, we developed and demonstrated the potential applicability of a novel mixed-scale …
this study, we developed and demonstrated the potential applicability of a novel mixed-scale …
COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach
The novel coronavirus (COVID-19), also known as SARS-CoV-2, is a highly contagious
respiratory disease that first emerged in Wuhan, China in 2019 and has since become a …
respiratory disease that first emerged in Wuhan, China in 2019 and has since become a …
An Alternative Diagnostic Method for C. neoformans: Preliminary Results of Deep-Learning Based Detection Model
Cryptococcus neoformans is an opportunistic fungal pathogen with significant medical
importance, especially in immunosuppressed patients. It is the causative agent of …
importance, especially in immunosuppressed patients. It is the causative agent of …
A Review of Artificial Intelligence in Education
Nowadays, cognitive qualities such as learning, adaptation, and decision-making are
present in computers, robots, and other artificially modified objects. This was made possible …
present in computers, robots, and other artificially modified objects. This was made possible …
An alternative diagnostic method for C. Neoformans: Preliminary results of deep-learning based detection model
Cryptococcus neoformans is an opportunistic fungal pathogen with significant medical
importance, especially in immunosuppressed patients. It is the causative agent of …
importance, especially in immunosuppressed patients. It is the causative agent of …