Recent progress in deep learning, especially deep convolutional neural networks (DCNNs),
has led to significant improvement in natural image classification. However, research is still …

Digital pathological images have been developing very fast with the recent progress in
imaging hardware. It provides tons of imaging data for diagnostic purposes in medical …

Colorectal cancer (CRC) is a common malignant tumor disease appeared in colon or rectum
walls. CRC metastasis often appears with lymph nodes, and the CRC lymph nodes region …

The use of deep learning techniques to diagnose medical disorders has gained increasing
popularity in recent times. The unbeatable accuracy of deep learning algorithms often …

Deep convolutional neural networks (CNNs) have proven to be powerful and flexible tools
that advance the state-of-the-art in many fields, eg speech recognition, computer vision and …

Medical image classification is a challenging task that is time-consuming, requires deep
domain expertise, and is also prone to error. Automated image classification can be used to …

Early lymphoma diagnosis is essential to improve the patients' survival rate and avoid
irreversible damage. Immunohistochemistry-based lymphoma diagnostics is an expensive …

Recently years, convolutional neural networks (CNNs) have proven to be powerful tools for
a broad range of computer vision tasks. However, training a CNN from scratch is difficult …

In the field of computer vision and medical imaging, the classification is one of the common
approaches apply to solve different problems. There are several Deep Learning (DL) …

Lymph nodes (LNs) are an essential component of immune system which filter out harmful
substances. Any disease of LNs leads to serious medical complications and may reduce …