Min Ding's research while affiliated with Taishan Medical University and other places

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Publications (1)


Figure 1. Main Steps of the Proposed Model
Figure 2. The main results of step 2.2. (i)The original CT image; (ii)The binary image; (iii)The initial hole-free lung region.
Figure 4. Experiments on CT images. (i)~(iii) An original CT image with a juxtapleural nodule. (iv)~(vi) The detected suspicious edge line for images (i)~(iii) correspondingly.
An Edge Detection Method for Suspicious Local Regions in CT images with Jaxtapleural Nodules
  • Article
  • Full-text available

January 2018

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75 Reads

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4 Citations

MATEC Web of Conferences

Changli Feng

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Haiyan Wei

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Min Li

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[...]

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Min Ding

Juxtapleural lung nodules are often excluded from the lung region in many CT image processing algorithms which are based on intensity information. For solving this problem, a suspicious edge line detection algorithm is proposed to obtain the edge line of the suspicious local lung region in this manuscript. Firstly, the lung region in the CT image is extracted by a fixed threshold. Then a SIFT algorithm is used to detect the feature point in the lung region. To filter out the useless feature points, a closest point matching method is used. Then a K-mean method is introduced to divide those feature points into several parts in which the edges of juxtapleural Lung nodules are contained. Experiments over CT slices show that the proposed method has a great performance in detecting the edge line of suspicious regions.

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Citations (1)


... Additionally, the ratio of over-and under-segmentation depended on the support-vector-machine performance, scan quality and adaptive threshold. Feng et al. [15] indicated a technique for pulmonary suspicious regions with juxtapleural nodules, which applies a Gaussian function to identify the feature points, classification and clustering to determine the edges. In this research, an extended algorithm is suggested to increase the accuracy and accelerate segmentation through enlarging multiple selected areas to outline and improve the tumorous region edges. ...

Reference:

Introducing extended algorithm for respiratory tumor segmentation
An Edge Detection Method for Suspicious Local Regions in CT images with Jaxtapleural Nodules

MATEC Web of Conferences