Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Abstract Background/Objectives: The purpose of this study is to demonstrate that the most
appropriate pooling is selected among different types of pooling techniques in CNN, for …

Medical strategies capture high-resolution images that can be used to diagnose and detect
a variety of diseases. The obtained images are luxurious to gain and hard to store, the …

Medical imaging plays a pivotal role in the clinical diagnosis of brain disease. There are
many imaging methods to detect the state of tissues in the brain. While these imaging …

In the situations of image fusion between the panchromatic (PAN) and the multispectral (MS)
image, it is an ideal thing to properly absorb the source image ingredients to reach the best …

In view of the serious color and definition distortion in the process of the traditional image
fusion, this study proposes a Haar-like multi-scale analysis model, in which Haar wavelet …

多模态医学图像融合已成为有效结合正常组织结构和异常改变信息, 提高医学诊断效率的强有力
辅助技术. 针对空域融合技术在处理图像细节丢失, 光谱退化等方面的缺陷, 提出一种在联合双边 …

In the microscopic imaging scenario where the object thickness exceeds the depth of field of
the microscope, multi-focus image fusion (MFF) is an effective method to generate an all-in …

In recent years, fused images have been developed for fast processing of medical images,
which provide a more reliable basis for reducing the burden on physicians because they can …

The original similarity measurement model is easy to ignore the processing of image details,
resulting in poor accuracy of similarity measurement. In the paper, we propose a similarity …