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[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 …
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
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 …
heart. Feature extraction and segmentation in ECG plays a significant role in diagnosing …
[PDF][PDF] Image Segmentation using K-means clustering and Thresholding
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 …
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
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 …
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 …
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
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 …
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 …
are essential tools for unraveling anatomical and tissue properties, particularly in the head …
[PDF][PDF] Handling numerical missing values via rough sets
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 …
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
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 …
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 …
Intelligent systems in medical diagnosis can be utilized as a supporting tool to the medical …