Meta-heuristic algorithm-tuned neural network for breast cancer diagnosis using ultrasound images
Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …
globe. Early diagnosis is the only way to increase the treatment options which then …
A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction
JDK Abel, S Dhanalakshmi, R Kumar - Multimedia Tools and Applications, 2023 - Springer
Despite the rapid growth in the area of adult ECG signal processing and monitoring systems,
the morphological analysis of fetal ECG signals lags farther behind and demands much …
the morphological analysis of fetal ECG signals lags farther behind and demands much …
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms
Background COVID-19 is a disease that caused a contagious respiratory ailment that killed
and infected hundreds of millions. It is necessary to develop a computer-based tool that is …
and infected hundreds of millions. It is necessary to develop a computer-based tool that is …
GNN-fused CapsNet with multi-head prediction for diabetic retinopathy grading
Diabetic retinopathy (DR) is a prevalent complication of diabetes, affecting a substantial
number of individuals worldwide and being a leading cause of blindness. The accurate and …
number of individuals worldwide and being a leading cause of blindness. The accurate and …
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
The impressive advancements in semi-supervised learning have driven researchers to
explore its potential in object detection tasks within the field of computer vision. Semi …
explore its potential in object detection tasks within the field of computer vision. Semi …
Deep Learning-Based Early Warning Score for Predicting Clinical Deterioration in General Ward Cancer Patients
Simple Summary This study aimed to develop a new warning score for cancer patients who
are at risk of getting worse in the hospital. Cancer patients can have serious problems due to …
are at risk of getting worse in the hospital. Cancer patients can have serious problems due to …
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
The lungs are a vital organ of the human body. Malfunctioning of the lungs caused a direct
threat to life. In recent years the world has witnessed massive medical insufficiency to …
threat to life. In recent years the world has witnessed massive medical insufficiency to …
A deep learning-based COVID-19 classification from chest X-ray image: case study
G Appasami, S Nickolas - The European Physical Journal Special Topics, 2022 - Springer
The novel corona virus disease (COVID-19) is a pandemic disease that is currently affecting
over 200 countries around the world and more than 6 millions of people died in last 2 years …
over 200 countries around the world and more than 6 millions of people died in last 2 years …
A Hybrid Learning Approach for Early-Stage Prediction and Classification of Alzheimer's Disease Using Multi-Features
M Sudharsan, G Thailambal - 2022 6th International …, 2022 - ieeexplore.ieee.org
Alzheimer's disease, is brain disorder, and has no medicine or cure. But, at very early stage,
the prediction helps to control and prevent its progression. The main outcome of this …
the prediction helps to control and prevent its progression. The main outcome of this …