2015/11/18 · In this paper, we have proposed a novel muscle cell segmentation algorithm that contains two steps: 1) A structured edge detection algorithm that can capture ...

We have experimentally demonstrated that the proposed structured edge detection based hierarchical segmentation algorithm outperforms other state of the arts ...

Abstract. Morphological characteristics of muscle cells, such as cross- sectional areas (CSAs), are critical factors to determine the muscle health.

Robust muscle cell segmentation using region selection with dynamic programming · Superpixel-based segmentation of muscle fibers in multi-channel microscopy.

Automated cell segmentation is usually a prerequisite to calculate the CSAs. However, it is challenging for many traditional segmentation methods to efficiently ...

Robust muscle cell quantification using structured edge detection and hierarchical segmentation. In: International Conference on Medical Image Computing and ...

2016/01/06 · In this review, we provide a comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images.

This work exploits an efficient algorithm for structured edge prediction to extract regions from structured edge detection and develops a novel algorithm to ...

• Automatic Segmentation of Internal Tooth Structure from CBCT Images using Hierarchical Deep Learning ... • Robust Cervical Abnormal Cell Detection via ...

Robust muscle cell quantification using structured edge detection and hierarchical segmentation. In: International Conference on Medical Image Computing and ...