Computer-aided diagnosis CAD
Computer-aided diagnosis (CAD) has become a vital part of medical evaluations and pathology detection in the United States [1]. Systematic use of CAD systems since 1980s has caused a signi ficant change in the utilization of the computer output for...Support Vector Machines
The Support vector machines are learning models that are supervised in nature. The SVM models are models with related learning algorithms. These learning models perceive examples, patterns, and investigate data given. The SVM models are generally used in...Random Forest Classifier
Random forest creates a number of decision tress. The decision trees are created depending on the random selection of data and also the selection of variables randomly. The class of the dependent variable is determined by the class based on many decision trees. The...KNN classifier
KNN is a straightforward algorithm that stores every single accessible case and characterizes new cases taking into account a similarity or closeness measure [25]. KNN is a non-parametric lazy learning algorithm [26]. By non-parametric technique, it implies that that...Texture Features in Cellprofiler
Haralick features Haralick features provide information on how the intensities of pixels in images of a certain position are related with the intensities of neighboring pixels. These features originated from the co-occurrence matrix. In the Cellprofiler used...Cellprofiler
CellProfiler is free open-source software or framework which enables pathologists and biologists who do not have specific knowledge in fields like computer vision, image processing and programming for quantitative measurement and evaluation of the phenotypes from...Local features in image processing
The local features (holistic features) consist of texture and cell level information, i.e. appearance and shape of every individual cell [13]. Haralick features [11] and Gabor wavelet texture [14] are calculated to measure the texture of the cells. In order to get the...Lung Cancer
Lung cancer is the type of cancer in which there is unchecked growth of unusual cells either in one or in both the lungs. These anomalous cells do not perform the functions of healthy human cells and do not mature into normal cells. This abnormality affects the proper...Contrariety between normal human cells and cancer causing cells in the Human body
Cancer cells vary from typical cells from various perspectives that permit them to become intrusive and unmanageable. The imperative contrast is that disease cells are not as specialized as normal human cells in the body. Normal human cells can grow into cells...Cancer
Cancer is known as gathering of related illnesses. In a wide range of cancer, some portion of the body’s cells, start to separate without halting and spread into encompassing tissues. Human body is made up of cells which are trillions in number. Tumor can begin any...Supervised learning methods in blood vessels segmentation
In contrast with the unsupervised techniques, supervised learning methods require labeled ground truth data and pre-training to adapt the system to the task at hand, in this case vessel pixel segmentation. Supervised methods tend to follow the same pattern: the...Unsupervised methods in blood vessels segmentation
All classification systems perform image processing to extract features that we hope will make it easier for the software to correctly label each pixel as vessel or not vessel, however unsupervised systems (like this work) do not require additional training data to...Blood Vessels Segmentation
Few areas of image processing have the kind of impact that medical image processing does. From performing reconstructions from MRI and CT scans to contrast enhancement of X-rays to techniques aimed at allowing more automated diagnoses by physicians, advancements in...Exploration activity in Oil & Gas
During the past few decades, the focus of exploration activity has shifted considerably within the Western Canada Sedimentary Basin, and more broadly within North America. Conventional exploration and production technologies have been replaced by technologies...
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