Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chi-Hsuan Tsou"'
Publikováno v:
Analytical Cellular Pathology, Vol 2015 (2015)
The blood vessel density in a cancerous tissue sample may represent increased levels of tumor growth. However, identifying blood vessels in the histological (tissue) image is difficult and time-consuming and depends heavily on the observer’s experi
Externí odkaz:
https://doaj.org/article/5b0cc37d8103462086b7f0cccfd6103a
Autor:
Chi-Hsuan Tsou, 鄒奇軒
103
The task of recognizing every object/region in images acquired with different medical imaging modalities is a key problem in medical image analysis (also called image understanding). Most of the earlier object/organ recognition algorithm ass
The task of recognizing every object/region in images acquired with different medical imaging modalities is a key problem in medical image analysis (also called image understanding). Most of the earlier object/organ recognition algorithm ass
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/68793593516132751560
Autor:
Chi-Hsuan Tsou, 鄒奇軒
96
Breast sonography is one of the effective tools for identification of breast cancers. It has been widely used for diagnosis and screening because of its non-radiation, low cost and effectiveness. The lesion shape in a breast sonogram is a cru
Breast sonography is one of the effective tools for identification of breast cancers. It has been widely used for diagnosis and screening because of its non-radiation, low cost and effectiveness. The lesion shape in a breast sonogram is a cru
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/64688195384391699499
Publikováno v:
BioMedical Engineering OnLine. 2015, Vol. 14 Issue 1, p1-17. 17p.
Autor:
Kuei-Wu Chen, Chi-Hsuan Tsou, Chiun-Sheng Huang, Chui-Mei Tiu, Jie-Zhi Cheng, Yi-Hong Chou, Yeun-Chung Chang, Fang-Cheng Yeh, Chung-Ming Chen
Publikováno v:
Medical Physics. 37:6240-6252
Purpose: Fully automatic and high-quality demarcation of sonographical breast lesions remains a far-reaching goal. This article aims to develop an image segmentation algorithm that provides quality delineation of breast lesions in sonography with a s
Publikováno v:
BioMedical Engineering
Background This paper proposes a semantic segmentation algorithm that provides the spatial distribution patterns of pulmonary ground-glass nodules with solid portions in computed tomography (CT) images. Methods The proposed segmentation algorithm, an
Publikováno v:
SPIE Proceedings.
Perfusion computed tomography (CT) has been widely used to assess the response of lung cancer treatment. However, the respiratory motion has become the major obstacle to the pixel-based time-series analyses. To minimize the effect of respiratory moti
Publikováno v:
Medical Imaging: Image Processing
Image segmentation for the demarcation of pulmonary nodules in CT images is intrinsically an arduous task. The difficulty can be summarized into two aspects. Firstly, lung tumor can be various in terms of physical densities in pulmonary regions, impl
For evaluating the severity of Chronic Obstructive Pulmonary Disease (COPD), one is interested in inspecting the airway wall thickening due to inflammation. Although airway segmentations have being well developed to reconstruct in high order, airway
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28edda1d64e7d9744dcdc56ad540e484
Publikováno v:
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
Blood vessel abstraction is an important procedure for quantitative analysis of blood vessel densities determined by immunostaining the tumor cells. Due to the weak contrast of object boundaries and background clutter, it is difficult to identify the