In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …

Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …

Transfer learning (TL) has been successfully applied to many real-world problems that
traditional machine learning (ML) cannot handle, such as image processing, speech …

Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …

For the last few years, computer‐aided diagnosis (CAD) has been increasing rapidly.
Numerous machine learning algorithms have been developed to identify different diseases …

Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

Parkinson's disease is the second most common degenerative disease caused by loss of
dopamine producing neurons. The substantia nigra region is deprived of its neuronal …

The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …

Abstract Small and Medium Enterprises (SMEs) and Micro, Small, and Medium Enterprises
(MSMEs) contemplate integrating machine vision with high throughput manufacturing lines …

Automated classification and morphological analysis of white blood cells has been
addressed since last four decades, but there is no optimal method which can be used as …