Automatic quantification and classification of leukocytes in microscopic images are of
paramount importance in the perspective of disease identification, its progress and drugs …

Soft computing is an emerging field that consists of complementary elements of fuzzy logic,
neural computing and evolutionary computation. Soft computing techniques have found …

This paper presents a survey of latest image segmentation techniques using fuzzy
clustering. Fuzzy C-Means (FCM) Clustering is the most wide spread clustering approach for …

Acute leukemia is a malignant disease characterized by an excess of immature white blood
cells, which proliferate in the circulatory system and replace healthy blood cells. These …

Abstract Background and Objective: The automatic detection and counting of white blood
cells (WBCs) play a vital role in the diagnosis of hematological diseases. Computer-aided …

The automatic detection of white blood cells (WBCs) still remains as an unsolved issue in
medical imaging. The analysis of WBC images has engaged researchers from fields of …

Medical imaging is a relevant field of application of image processing algorithms. In
particular, the analysis of white blood cell (WBC) images has engaged researchers from …

In this day and age, digital images play a significant role in our day-to-day life. Digital
images are utilized in a wide range of fields like medical, business and more. Besides, the …

Image segmentation has long been an im-portant focus of research, yielding many
automated methods to perform segmentation of different organs in the human body. Brain …

This paper aims at developing an Automatic Music Genre Classification system and focuses
on calculating algorithms that (ideally) can predict the music class in which a music file …