Search Results - "Xu, Shengzhou"

Characteristic analysis of Otsu threshold and its applications by Xu, Xiangyang, Xu, Shengzhou, Jin, Lianghai, Song, Enmin

“…► Otsu threshold is equal to the average of mean levels of two classes divided by it. ►Otsu threshold biases toward the class with larger variance. ► Otsu…”
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Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation by Lu, Haoran, She, Yifei, Tie, Jun, Xu, Shengzhou

“…Medical image segmentation plays a vital role in computer-aided diagnosis procedures. Recently, U-Net is widely used in medical image segmentation. Many…”
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Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet by Xu, Shengzhou, Lu, Haoran, Cheng, Shiyu, Pei, Chengdan

“…Cardiovascular diseases are reported as the leading cause of death around the world. Automatic segmentation of the left ventricle (LV) from magnetic resonance…”
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Development of a Deep Learning System to Detect Esophageal Cancer by Barium Esophagram by Zhang, Peipei, She, Yifei, Gao, Junfeng, Feng, Zhaoyan, Tan, Qinghai, Min, Xiangde, Xu, Shengzhou

“…BackgroundImplementation of deep learning systems (DLSs) for analysis of barium esophagram, a cost-effective diagnostic test for esophageal cancer detection,…”
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Automatic segmentation of the left ventricle in cardiac MRI using local binary fitting model and dynamic programming techniques by Hu, Huaifei, Gao, Zhiyong, Liu, Liman, Liu, Haihua, Gao, Junfeng, Xu, Shengzhou, Li, Wei, Huang, Lu

“…Segmentation of the left ventricle is very important to quantitatively analyze global and regional cardiac function from magnetic resonance. The aim of this…”
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Left Ventricle Segmentation Based on a Dilated Dense Convolutional Networks by Xu, Shengzhou, Cheng, Shiyu, Min, Xiangde, Pan, Ning, Hu, Huaifei

“…The automatic segmentation of the left ventricle in magnetic resonance (MR) images is the basis of computer-aided diagnosis systems. To accurately extract the…”
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Hybrid Segmentation of Mass in Mammograms Using Template Matching and Dynamic Programming by Song, Enmin, PhD, Xu, Shengzhou, PhD, Xu, Xiangyang, PhD, Zeng, Jianye, MD, Lan, Yihua, PhD, Zhang, Shenyi, MSc, Hung, Chih-Cheng, PhD

“…Rationale and Objectives Accurate image segmentation for breast lesions is a critical step in computer-aided diagnosis systems. The objective of this study was…”
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Mammographic mass recognition using feature reuse and channel attention mechanism by Pan, Ansi, Xu, Shengzhou

“…Mass recognition is one of the important steps in early diagnosis for breast cancer. However, one of the major issues in mass recognition is low sensitivity…”
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ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection by Chen, Luolin, Zhou, Yusong, Xu, Shengzhou

“…Mammography is an effective method for diagnosing breast diseases, and computer-aided detection (CAD) systems play an important role in the detection of breast…”
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CA‐UNet : Convolution and attention fusion for lung nodule segmentation by Wang, Tong, Wu, Fubin, Lu, Haoran, Xu, Shengzhou

“…Lung cancer is one of the deadliest cancers in the world and is a serious threat to human life. Lung nodules are an early manifestation of lung cancer, early…”
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Marker-Controlled Watershed for Lesion Segmentation in Mammograms by Xu, Shengzhou, Liu, Hong, Song, Enmin

“…Lesion segmentation, which is a critical step in computer-aided diagnosis system, is a challenging task as lesion boundaries are usually obscured, irregular,…”
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Soliton patterns recognition and searching from a 2 µm intelligent mode-locked fiber laser agent by Yao, Tianchen, Qi, Liwen, Zheng, Fangfang, Zhou, Wei, Kang, Hui, Zhu, Qiang, Song, Xiaozhao, Liu, Guangmiao, Xu, Shengzhou, Zhang, Qianwei, Wang, Haotian, Wang, Fei, Wang, Yishan, Jia, Baohua, Shen, Deyuan

“…•Current intelligent control research is mainly focused on the 1 µm and 1.5 µm bands, and in addition to our previous work, intelligent control of ultrafine…”
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Segmentation of the breast region in mammograms using marker-controlled watershed transform by Chengdan Pei, Wang, Chunmei, Shengzhou Xu

“…Extraction of breast contour is a crucial first step in computer aided diagnosis of mammograms. It has the advantage of allowing the search for abnormalities…”
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Hierarchical matching for automatic detection of masses in mammograms by Shengzhou Xu, Chengdan Pei

“…The computer-aided detection (CAD) system plays a vital role in early cancer diagnosis and thus aids in reducing the mortality rate of breast cancer. In this…”
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Mammographic mass segmentation using multichannel and multiscale fully convolutional networks by Xu, Shengzhou, Adeli, Ehsan, Cheng, Jie‐Zhi, Xiang, Lei, Li, Yang, Lee, Seong‐Whan, Shen, Dinggang

“…Breast cancer is one of the leading causes of death among women worldwide. Mammographic mass segmentation is an important task in mammogram analysis. This…”
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Bilateral Asymmetry Detection in Mammograms Using Non-rigid Registraion and Pseudo-color Coding by Shengzhou Xu, Hong Liu, Xiangyang Xu, Enmin Song, Jianye Zeng

“…Breast cancer is the most common cancer in women. The deviation from the normal architectural symmetry of the left and right breasts can indicate the…”
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Left Ventricle Segmentation Based on a Dilated Dense Convolutional Networks by Xu, Shengzhou, Cheng, Shiyu, Min, Xiangde, Pan, Ning, Hu, Huaifei

“…The automatic segmentation of the left ventricle in magnetic resonance (MR) images is the basis of computer-aided diagnosis systems. To accurately extract the…”
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Using PSO to improve dynamic programming based algorithm for breast mass segmentation by Xiangyang Xu, ShengZhou Xu, Lianghai Jin, Shenyi Zhang

“…Accurate segmentation of breast masses plays a crucial role in computer-aided mammography screening systems. In this paper, an improved algorithm based on…”
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