Image segmentation is the process, which is used to subdivide an image into its component regions or objects. Here, the objects are white blood cells. White blood cells are divided into five types. They are neutrophil, eosinophil, basophil, monocyte and lymphocyte. The main cause of blood cancer is the rapid increase of lymphocyte. So, lymphocytes are detected. Then, feature extraction method is applied. Image features are local, meaningful, detectable parts of an image. Here, the features of lymphocytes such as area, perimeter and circularity are calculated. Image classification is a computational procedure that sorts images into groups or classes according to their similarities. Here, the normal lymphocyte cells and the blast cells are classified with the help of these extracted features using kNN classifier. kNN(k-Nearest Neighbor classifier) is a simple supervised classification method. It stores the normal values of normal lymphocyte cell’s features. Then, it compares the values with that of the blast cells. The blood cancer cells are detected from a patient’s blood smear using different techniques of image process.
Research Article: Accounting & Marketing
Research Article: Accounting & Marketing
Research Article: Accounting & Marketing
Research Article: Accounting & Marketing
Case Report: Accounting & Marketing
Case Report: Accounting & Marketing
Research Article: Accounting & Marketing
Research Article: Accounting & Marketing
Research Article: Accounting & Marketing
Research Article: Accounting & Marketing
Editorial: Accounting & Marketing
Editorial: Accounting & Marketing
Posters-Accepted Abstracts: Accounting & Marketing
Posters-Accepted Abstracts: Accounting & Marketing
Posters-Accepted Abstracts: Accounting & Marketing
Posters-Accepted Abstracts: Accounting & Marketing
Posters-Accepted Abstracts: Accounting & Marketing
Posters-Accepted Abstracts: Accounting & Marketing
Keynote: Accounting & Marketing
Keynote: Accounting & Marketing
Scientific Tracks Abstracts: Business and Economics Journal
Scientific Tracks Abstracts: Business and Economics Journal
Keynote: Business and Economics Journal
Keynote: Business and Economics Journal
Accounting & Marketing received 487 citations as per Google Scholar report