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Cancer prognosis and diagnosis methods based on ensemble learning
Ensemble methods try to improve performance via integrating different kinds of input data,
features, or learning algorithms. In addition to other areas, they are finding their applications …
features, or learning algorithms. In addition to other areas, they are finding their applications …
Multi-level image thresholding using Otsu and chaotic bat algorithm
SC Satapathy, N Sri Madhava Raja… - Neural Computing and …, 2018 - Springer
Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
Background and objective Cardiovascular diseases are an extremely widespread sickness
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …
Thermal imaging in medical science
Thermal imaging is a non-destructive, non-contact and rapid system. It reports temperature
through measuring infrared radiation emanated by an object/material surface. Automated …
through measuring infrared radiation emanated by an object/material surface. Automated …
Social group optimization for global optimization of multimodal functions and data clustering problems
Cost and physical constraints in the engineering applied problems obligate finding the best
results that global optimization algorithms cannot realize. For accurate and faster …
results that global optimization algorithms cannot realize. For accurate and faster …
Computed tomography image enhancement using cuckoo search: a log transform based approach
Medical image enhancement is an essential process for superior disease diagnosis as well
as for detection of pathological lesion accurately. Computed Tomography (CT) is considered …
as for detection of pathological lesion accurately. Computed Tomography (CT) is considered …
A comparative study for brain tumor detection in MRI images using texture features
MRI images are a very rich source of texture. Analysis of texture is crucial for the automation
of tumor detection from MRI images. By analyzing what information a specific texture …
of tumor detection from MRI images. By analyzing what information a specific texture …
Enhanced monarchy butterfly optimization technique for effective breast cancer diagnosis
S Punitha, A Amuthan, KS Joseph - Journal of medical systems, 2019 - Springer
Breast cancer is the biggest curse for the women society in the world since the survival factor
of the infected patients is ensured only when it is detected at the early localized stage. The …
of the infected patients is ensured only when it is detected at the early localized stage. The …
Automated classification of hypertension and coronary artery disease patients by PNN, KNN, and SVM classifiers using HRV analysis
MG Poddar, AC Birajdar, J Virmani - … learning in bio-signal analysis and …, 2019 - Elsevier
The hypertension (HTN) and coronary artery disease (CAD) are the major cardiovascular
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …
Design and analysis of quantum powered support vector machines for malignant breast cancer diagnosis
The rapid pace of development over the last few decades in the domain of machine learning
mirrors the advances made in the field of quantum computing. It is natural to ask whether the …
mirrors the advances made in the field of quantum computing. It is natural to ask whether the …