A significant amount of research has investigated automating medical diagnosis using deep
learning. However, because medical data are collected through diagnostic tests, deep …

Deep learning requires a large amount of data to perform well. However, the field of medical
image analysis suffers from a lack of sufficient data for training deep learning models …

Compared with common deep learning methods (eg, convolutional neural networks),
transfer learning is characterized by simplicity, efficiency and its low training cost, breaking …

Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

The field of medicine has a history of adopting new technology. Video equipment and
sensors are used to visualize areas of interest in the human allowing for doctors to make …

Simple Summary In this paper, we introduce a new technique for enhancing medical image
diagnosis through transfer learning (TL). The approach addresses the issue of limited …

The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …

Thanks to computational and algorithmic advances, as well as an increasing availability of
vast amounts of data, deep learning techniques have substantially improved over the past …

Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …

There is a wide spectrum of different deep learning (DL) architectures available for medical
image analysis. Among this convolution networks (CNN) found to be more efficient for …