[BOK][B] Data Mining: Concepts, models and techniques

F Gorunescu - 2011 - books.google.com
The knowledge discovery process is as old as Homo sapiens. Until some time ago this
process was solely based on the 'natural personal'computer provided by Mother Nature …

[PDF][PDF] A survey on various machine learning approaches for ECG analysis

CK Roopa, BS Harish - International Journal of Computer …, 2017 - researchgate.net
Electrocardiogram (ECG) is a P, QRS and T wave demonstrating the electrical activity of the
heart. Feature extraction and segmentation in ECG plays a significant role in diagnosing …

[PDF][PDF] Image Segmentation using K-means clustering and Thresholding

P Panwar, G Gopal, R Kumar - Image, 2016 - academia.edu
Image segmentation is the division or separation of an image into regions ie set of pixels,
pixels in a region are similar according to some criterion such as colour, intensity or texture …

Supervoxels-based histon as a new alzheimer's disease imaging biomarker

CAO Toro, C Gonzalo-Martín, A García-Pedrero… - Sensors, 2018 - mdpi.com
Alzheimer's disease (AD) represents the prevalent type of dementia in the elderly, and is
characterized by the presence of neurofibrillary tangles and amyloid plaques that eventually …

[PDF][PDF] Image processing of SEM image nano silver using K-means MATLAB technique

EJ Mohammad - Al-Mustansiriyah Journal of Science, 2019 - iasj.net
Nanotechnology is one of the non-exhaustive applications in which image processing is
used. For optimal nanoparticle visualization and characterization, the high resolution …

Hybrid segmentation and feature extraction approach to detect tumour based on fuzzy rough-in mammogram images

M Punitha, K Perumal - Procedia Computer Science, 2019 - Elsevier
Tumor classification plays a significant area of research in mammogram images. In this
paper, we introduce the tumor classification method in mammogram images by using Fuzzy …

[HTML][HTML] Continuum topological derivative-A novel application tool for segmentation of CT and MRI images

V Muthukrishnan, S Jaipurkar, N Damodaran - Neuroimage: Reports, 2024 - Elsevier
Abstract Introduction Computed Tomography (CT) and Magnetic Resonance Imaging (MRI)
are essential tools for unraveling anatomical and tissue properties, particularly in the head …

[PDF][PDF] Handling numerical missing values via rough sets

E Sallam, T Medhat, A Ghanem, ME Ali - International Journal of …, 2017 - academia.edu
Many existing industrial and research data sets contain missing values. Data sets contain
missing values due to various reasons, such as manual data entry procedures, equipment …

Textural features for automatic detection and categorisation of pneumonia in chest X-ray images

CA Ortiz-Toro, A García-Pedrero… - 2022 IEEE 35th …, 2022 - ieeexplore.ieee.org
Pneumonia is an acute lung infection caused by a variety of organisms, such as viruses,
bacteria, or fungi, that poses a serious risk to vulnerable populations. The first step in the …

Application of rough set based models in medical diagnosis

B Tripathy - Handbook of Research on Computational Intelligence …, 2016 - igi-global.com
Modeling intelligent system in the field of medical diagnosis is still a challenging work.
Intelligent systems in medical diagnosis can be utilized as a supporting tool to the medical …