Abstract Machine learning (ML) algorithms have made a tremendous impact in the field of
medical imaging. While medical imaging datasets have been growing in size, a challenge …

Abstract Coronavirus disease 2019 (COVID-19) has infected more than 1.3 million
individuals all over the world and caused more than 106,000 deaths. One major hurdle in …

The ABCD rule is a simple framework that physicians, novice dermatologists and non-
physicians can use to learn about the features of melanoma in its early curable stage …

Image segmentation has a key role in computer vision and image processing. Superiority of
deep learning based segmentation techniques has been shown in various studies in the …

Transfer learning technique is popularly employed for a lot of medical image classification
tasks. Here based on convolutional neural network (CNN) and sparse coding process, we …

Skin lesion border irregularity is considered an important clinical feature for the early
diagnosis of melanoma, representing the B feature in the ABCD rule. In this article we …

In the present work, we have explored the potential of Copula-based ensemble of CNNs
(Convolutional Neural Networks) over individual classifiers for malignancy identification in …

Melanoma is a type of skin cancer with a higher mortality rates. Early and accurate diagnosis
of melanoma has critical importance on its prognosis. Recently, deep learning models …

The COVID-19 has resulted in catastrophic situation and the deaths of millions of people all
over the world. In this paper, the predictions of epidemiological propagation models, such as …

Accepted: 5 January 2023 A serious global problem called COVID-19 has killed a great
number of people and rendered many projects useless. The obtained individual's …