Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

Adapting an existing convolutional neural network architecture to a specific dataset for
medical image segmentation remains a challenging task that requires extensive expertise …

Image-based algorithmic software segmentation is an increasingly important topic in many
medical fields. Algorithmic segmentation is used for medical three-dimensional visualization …

Precise object boundary detection for automatic image segmentation is critical for image
analysis, including that used in computer-aided diagnosis. However, such detection …

As there has been a prevalence of innumerable harmful diseases concerned with the
internal and external structure of the spinal cord, a well predetermined examination may …

Deep neural networks have become very successful at solving many complex tasks such as
image classification, image segmentation, and speech recognition. These models are …

Deep neural networks have become very successful at solving many complex tasks such as
image classification, image segmentation, and speech recognition. These models are …