Chest X-ray analysis empowered with deep learning: A systematic review
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …
particularly plays an important role in the diagnosis of medical conditions such as …
COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features
Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …
Four types of multiclass frameworks for pneumonia classification and its validation in X-ray scans using seven types of deep learning artificial intelligence models
Background and Motivation: The novel coronavirus causing COVID-19 is exceptionally
contagious, highly mutative, decimating human health and life, as well as the global …
contagious, highly mutative, decimating human health and life, as well as the global …
Deep learning model for detection of hotspots using infrared thermographic images of electrical installations
EK Ukiwe, SA Adeshina, T Jacob… - Journal of Electrical …, 2024 - Springer
Hotspots in electrical power equipment or installations are a major issue whenever it occurs
within the power system. Factors responsible for this phenomenon are many, sometimes …
within the power system. Factors responsible for this phenomenon are many, sometimes …
The practices of artificial intelligence techniques and their worth in the confrontation of COVID-19 pandemic: A literature review
M Mijwil, AH Al-Mistarehi, DS Mutar - 2022 - journal2.uad.ac.id
Today, the medical society is living in the era of artificial intelligence, which is developed
and becomes more famous thanks to the coronavirus disease of 2019 (COVID-19) …
and becomes more famous thanks to the coronavirus disease of 2019 (COVID-19) …
Performance evaluation of deep learning models on mammogram classification using small dataset
Cancer is the second leading cause of death globally, and breast cancer (BC) is the second
most reported cancer. Although the incidence rate is reducing in developed countries, the …
most reported cancer. Although the incidence rate is reducing in developed countries, the …
[HTML][HTML] An explainable artificial intelligence model for identifying local indicators and detecting lung disease from chest X-ray images
One of the primary responsibilities of radiologists is to diagnose lung illness using chest X-
ray images. The radiologist examines the patchy infection in the imaging and makes a …
ray images. The radiologist examines the patchy infection in the imaging and makes a …
Hyperparameter analysis of wide-kernel cnn architectures in industrial fault detection: an exploratory study
Industrial fault detection has become more data-driven due to advancements in automated
data analysis using deep learning. Such methods make it possible to extract useful features …
data analysis using deep learning. Such methods make it possible to extract useful features …
Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network
Brain cancer is one of the most leading causes of death in human beings. There are different
types of tumours affecting the brain and early diagnosis of them increases the survival rate …
types of tumours affecting the brain and early diagnosis of them increases the survival rate …