In recent decades, deep learning (DL) has become a rapidly growing research direction,
redefining the state-of-the-art performances in a wide range of techniques, such as object …

Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well‐
known fact that climate change has been accelerated over the past decades due to various …

In this paper, a robust sparse representation for medical image classification is proposed
based on the adaptive type-2 fuzzy learning (T2-FDL) system. In the proposed method …

Despite great advances, molecular cancer pathology is often limited to the use of a small
number of biomarkers rather than the whole transcriptome, partly due to computational …

Gliomas are the most common types of brain tumors. Their shapes are irregular and their
boundaries are ambiguous, producing a tumor that is hard to detect. To improve the …

Recent developments in medical image analysis techniques make them essential tools in
medical diagnosis. Medical imaging is always involved with different kinds of uncertainties …

Gliomas are the most common type of primary brain tumors, classified into low‐grade
gliomas (LGGs) and high‐grade gliomas (HGGs). There is a significant difference in survival …

Background The aim of gene expression-based clinical modelling in tumorigenesis is not
only to accurately predict the clinical endpoints, but also to reveal the genome …

Günlük hayatımızda ve bilimsel araştırmalarda gerçeğe yakın ve gürültüsüz görüntülere olan
ihtiyaç artmaktadır. Ancak görüntüler, gürültü ile bozulmakta ve bu da görsel görüntü …

Classification of blood cell images, through color and morphological features, is essential for
medical diagnostic processes. This paper proposes an efficient method using LeGall5/3 …