Semantic Segmentation of Colposcopic Images
We aim at obtaining high quality segmentation results of colposcopic images.
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Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules
We aim at a unified framework to predict future volume of a lung nodule, given any time interval and a baseline volume.
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Quaternion Product Units for Deep Learning on 3D Rotation Groups
QPU merges inputs using the group law of 3D rotation group and achieves rotation-invariance and rotation-equivariance in a unified framework.
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Disentangled Gradient Harmonizing Mechanism for Weakly-Supervised Medical Annotations
A novel decoupled gradient harmonizing loss (DGHM-loss) is advanced to calculate the gradient harmonizing loss for different regions.
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Quaternion Convolutional Neural Networks
Extending neural network models to the quaternion domain, and archieve better performance for color image processing.
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Flexible Network Binarization with Layer-Wise Priority
To achieve a novel and flexible neural network binarization method by introducing the concept of layer-wise priority which binarizes parameters in inverse order of their layer depth.
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Pulmonary Nodule Diagnosis Based on CT Images
Accurate detection and precise prognostic analysis of pulmonary nodule based on CT medical images.
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Intelligent Assisted Diagnosis and Prognostic Evaluation of Breast Cancer
Based on mass Radiomics database of multimodal breast ultrasound, achieve intelligent assisted diagnosis and prognostic evaluation system, which can help improve the accuracy of ultrasound examination.
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Crowd Density Estimation
Crowd counting or density estimation is a challenging task in computer vision, which aims to handle counting task in complex and dense crowd scenes.
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Intelligent Assisted Driving -- 3D Vehicles Detection
Achieve intelligent assisted driving system, which can accurately detect and recognize the vehicles.
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Automated Driving Decision Network
Development of Automated Driving Decision Algorithm Based on Supervised End-to-End Deep Learning
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