Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images

Autor: Ning, Zhenyuan, Mao, Yixiao, Feng, Qianjin, Zhong, Shengzhou, Zhang, Yu

Complex scenario of ultrasound image, in which adjacent tissues (i.e., background) share similar intensity with and even contain richer texture patterns than lesion region (i.e., foreground), brings a unique challenge for accurate lesion segmentation

Externí odkaz: http://arxiv.org/abs/2308.00947

On aspects of inflation in the context of commodity and futures market

Autor: Mao, Yixiao

This thesis has developed alternative approaches for inflation forecasting and analysed the inflation risk premium in the context of commodity futures and options markets. Chapter 1 proposes an approach to tackle the non-availability of exchange-trad

Externí odkaz: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761872

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Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images.

Autor: Mao Y; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China., Feng Q; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China., Zhang Y; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China. Electronic address: yuzhang@smu.edu.cn., Ning Z; School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China. Electronic address: jonnyning@foxmail.com.

Publikováno v: Medical image analysis [Med Image Anal] 2024 Nov 01; Vol. 99, pp. 103380. Date of Electronic Publication: 2024 Nov 01.