The fusion and utilization of multi‐scale deep and shallow features are of great significance
in liver tumour segmentation. This study proposes a dual encoding DDS‐UNet liver tumour …

A tumour is an uncontrolled growth of tissues in any part of the body. Tumours are of
different types and characteristics and have different treatments. Detection of a tumour in the …

脑肿瘤的语义分割是一项基本的医学图像分析任务, 可以协助临床医生诊断患者,
并持续关注病灶部分的变化情况. 得益于深度学习的发展, 医学图像自动分割取得了很大的进步 …

As the number of patients increases, physicians are dealing with more and more cases of
degenerative spine pathologies on a daily basis. To reduce the workload of healthcare …

With a focus on integrated sensing, communication, and computation (ISCC) systems,
multiple sensor devices collect information of different objects and upload it to data …

Purpose Localization and screening of the target tissue is a main prerequisite of numerous
medical procedures, including capsule endoscopy, colonoscopy and histology …

In photography, bokeh is the aesthetic effect appearing in out-of-focus areas. Bokeh is often
used to emphasize a subject or to express a beautiful background. However, such bokeh …

. Background Medical image segmentation is not only an important step in medical image
analysis, but also an indispensable part of computer-aided diagnosis and pathology …

Lithium battery is widely used in various industries due to its excellent performance. Due to
the huge demand, the diagnosis and prediction of lithium battery are paid more and more …

In order to improve the segmentation effect of brain tumor images and address the issue of
feature information loss during convolutional neural network (CNN) training, we present an …