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    Chapter and Conference Paper

    Deep Active Learning for Effective Pulmonary Nodule Detection

    Expensive and time-consuming medical imaging annotation is one of the big challenges for the deep learning-based computer-aided diagnosis (CAD) on the low-dose computed tomography (CT). To address this problem...

    **gya Liu, Liangliang Cao, Yingli Tian in Medical Image Computing and Computer Assis… (2020)

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    Chapter and Conference Paper

    3DFPN-HS \(^2\) : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

    Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algorithms make great progress fo...

    **gya Liu, Liangliang Cao, Oguz Akin… in Medical Image Computing and Computer Assis… (2019)

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    Chapter

    Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos

    In this chapter, we explore the characteristics of geographically tagged Internet photos and determine their location based on the visual content. We develop a principled machine learning model to estimate geo...

    Li-Jia Li, Rahul Kumar Jha, Bart Thomee… in Large-Scale Visual Geo-Localization (2016)

  4. Chapter and Conference Paper

    Degen Generalized Cylinders and Their Properties

    Generalized cylinder (GC) has played an important role in computer vision since it was introduced in the 1970s. While studying GC models in human visual perception of shapes from contours, Marr assumed that GC...

    Liangliang Cao, Jianzhuang Liu, **aoou Tang in Computer Vision – ECCV 2006 (2006)

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