Perineural invasion (PNI), lymphovascular invasion (LVI) and tumor angiogenesis have
strong correlation with cancer recurrence, metastasis and poor patient survival. The accurate …

Image semantic segmentation has been applied more and more widely in the fields of
satellite remote sensing, medical treatment, intelligent transportation, and virtual reality …

Introduction Fully convoluted neural networks (FCNN) applied to video-analysis are of
particular interest in the field of head and neck oncology, given that endoscopic examination …

Recently, the introduction of Convolutional Neural Network (CNNs) has advanced the way of
solving image segmentation tasks. Semantic image segmentation has considerably …

Accurate segmentation of brain tumor is a critical component for diagnosis of cancer,
treatment and evaluation of outcome. It consist of identification of different types of tumor …

Lymphovascular invasion (LVI) and tumor angiogenesis are correlated with metastasis,
cancer recurrence and poor patient survival. In most of the cases, the LVI quantification and …

Medical image segmentation assists in computeraided diagnosis, surgeries, and treatment.
Digitize tissue slide images are used to analyze and segment glands, nuclei, and other …

Recent decades have witnessed rapid development in the field of medical image
segmentation. Deep learning-based fully convolution neural networks have played a …

There have been major developments in deep learning in computer vision since the 2010s.
Deep learning has contributed to a wealth of data in medical image processing, and …

In this manuscript, we proposed an automatic segmentation method which was developed
using the depth-wise separable convolution with bottleneck connections. The data were …