Search Results - "Yeqin Shao"

Interleaved 3D‐CNNs for joint segmentation of small‐volume structures in head and neck CT images by Ren, Xuhua, Xiang, Lei, Nie, Dong, Shao, Yeqin, Zhang, Huan, Shen, Dinggang, Wang, Qian

“…Purpose Accurate 3D image segmentation is a crucial step in radiation therapy planning of head and neck tumors. These segmentation results are currently…”
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A new class of Bessel kernel functions for Support Vector Machine by Shao, Yeqin, Jiang, Quan

“…In this paper, we construct a Bessel-class kernels for Support Vector Machine. This new class of kernels are proved that they are continuous and satisfy…”
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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests by Yaozong Gao, Yeqin Shao, Jun Lian, Wang, Andrew Z., Chen, Ronald C., Dinggang Shen

“…Segmenting male pelvic organs from CT images is a prerequisite for prostate cancer radiotherapy. The efficacy of radiation treatment highly depends on…”
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Some Inverse Problems of Two-Dimensional Stokes Flows by the Method of Fundamental Solutions and Kalman Filter by Shao, Yeqin, Jiang, Quan

“…Some inverse problems of Stokes flow, including noisy boundary conditions, unknown angular velocity, and dynamic viscous constant identification are studied in…”
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DIBR-Synthesized Image Quality Assessment With Texture and Depth Information by Wang, Guangcheng, Shi, Quan, Shao, Yeqin, Tang, Lijuan

“…Accurately predicting the quality of depth-image-based-rendering (DIBR) synthesized images is of great significance in promoting DIBR techniques. Recently,…”
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Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images by Shao, Yeqin, Gao, Yaozong, Wang, Qian, Yang, Xin, Shen, Dinggang

“…Automatic and accurate segmentation of the prostate and rectum in planning CT images is a challenging task due to low image contrast, unpredictable organ…”
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Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions-a retrospective study by Tang, Weixia, Zhang, Ming, Xu, Changyan, Shao, Yeqin, Tang, Jiahuan, Gong, Shenchu, Dong, Hao, Sheng, Meihong

“…To compare the diagnostic efficiencies of deep learning single-modal and multi-modal for the classification of benign and malignant breast mass lesions. We…”
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Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression by Shao, Yeqin, Kim, Jaeil, Gao, Yaozong, Wang, Qian, Lin, Weili, Shen, Dinggang

“…Hippocampal segmentation from infant brain MR images is indispensable for studying early brain development. However, most of the hippocampal segmentation…”
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Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis by Wang, Jing, Chen, Li, Xu, Sheng, Shao, Yeqin, Zhang, Peijian, Hua, Liang, Fu, JunHong, Zhang, Kun, Zhou, H.

“…Histological assessment of glands is one of the major concerns in colon cancer grading. Considering that poorly differentiated colorectal glands cannot be…”
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CSSNet: Cascaded spatial shift network for multi-organ segmentation by Shao, Yeqin, Zhou, Kunyang, Zhang, Lichi

“…Multi-organ segmentation is vital for clinical diagnosis and treatment. Although CNN and its extensions are popular in organ segmentation, they suffer from the…”
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Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations by Wang, Shuai, Wang, Qian, Shao, Yeqin, Qu, Liangqiong, Lian, Chunfeng, Lian, Jun, Shen, Dinggang

“…Obtaining accurate segmentation of the prostate and nearby organs at risk (e.g., bladder and rectum) in CT images is critical for radiotherapy of prostate…”
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CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation by Wang, Shuai, Nie, Dong, Qu, Liangqiong, Shao, Yeqin, Lian, Jun, Wang, Qian, Shen, Dinggang

“…Sufficient data with complete annotation is essential for training deep models to perform automatic and accurate segmentation of CT male pelvic organs,…”
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Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning by Shao, Yeqin, Gao, Yaozong, Guo, Yanrong, Shi, Yonghong, Yang, Xin, Shen, Dinggang

“…Lung field segmentation in the posterior-anterior (PA) chest radiograph is important for pulmonary disease diagnosis and hemodialysis treatment. Due to high…”
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Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution by Zhang, Jinpeng, Zhang, Lichi, Xiang, Lei, Shao, Yeqin, Wu, Guorong, Zhou, Xiaodong, Shen, Dinggang, Wang, Qian

“…It is fundamentally important to fuse the brain atlas from magnetic resonance (MR) images for many imaging-based studies. Most existing works focus on fusing…”
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Lung field segmentation using weighted sparse shape composition with robust initialization by Xiong, Junfeng, Shao, Yeqin, Ma, Jingchen, Ren, Yacheng, Wang, Qian, Zhao, Jun

“…Purpose Lung field segmentation for chest radiography is critical to pulmonary disease diagnosis. In this paper, we propose a new deformable model using…”
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FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation by Xu, Shoukun, Xiao, Dehao, Yuan, Baohua, Liu, Yi, Wang, Xueyuan, Li, Ning, Shi, Lin, Chen, Jialu, Zhang, Ju-Xiao, Wang, Yanhao, Cao, Jianfeng, Shao, Yeqin, Jiang, Mingjie

“…Medical image segmentation is crucial for accurate diagnosis and treatment in the medical field. In recent years, convolutional neural networks (CNNs) and…”
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Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model by Liu, Dong, Li, Ling, Crookes, Danny, Zhou, H., Zhang, Hongbin, Zhang, Kun, Shao, Yeqin

“…Zebrafish embryo fluorescent vessel analysis, which aims to automatically investigate the pathogenesis of diseases, has attracted much attention in medical…”
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Interleaved 3D‐ CNN s for joint segmentation of small‐volume structures in head and neck CT images by Ren, Xuhua, Xiang, Lei, Nie, Dong, Shao, Yeqin, Zhang, Huan, Shen, Dinggang, Wang, Qian

“…Purpose Accurate 3D image segmentation is a crucial step in radiation therapy planning of head and neck tumors. These segmentation results are currently…”
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Non-stationary speckle reduction in high resolution SAR images by Xu, Zhihuo, Shi, Quan, Chen, Yunjin, Feng, Wensen, Shao, Yeqin, Sun, Ling, Huang, Xinming

“…This paper attempts to address non-stationary speckle reduction in high-resolution synthetic aperture radar (HR-SAR) images, using a novel Bayesian approach…”
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A hybrid spam detection method based on unstructured datasets by Shao, Yeqin, Trovati, Marcello, Shi, Quan, Angelopoulou, Olga, Asimakopoulou, Eleana, Bessis, Nik

“…The identification of non-genuine or malicious messages poses a variety of challenges due to the continuous changes in the techniques utilised by…”
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