Search Results for author: Jiapan Guo

Found 4 papers, 0 papers with code

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

no code implementations30 Apr 2023 Jie Ren, Wenya Yu, Jiapan Guo, Weichuan Zhang, Changming Sun

Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction.

3D Reconstruction Image Retrieval +2

Recurrent convolutional neural networks for mandible segmentation from computed tomography

no code implementations13 Mar 2020 Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Haye H. Glas, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen

The recurrent structure guides the system to exploit relevant and important information from adjacent slices, while the SegCNN component focuses on the mandible shapes from a single CT slice.

Segmentation

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection

no code implementations11 Apr 2019 Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen

Experimental results show that utilizing MIP images can increase the sensitivity and lower the number of false positives, which demonstrates the effectiveness and significance of the proposed MIP-based CNNs framework for automatic pulmonary nodule detection in CT scans.

Computed Tomography (CT) Lung Nodule Detection

3D segmentation of mandible from multisectional CT scans by convolutional neural networks

no code implementations18 Sep 2018 Bingjiang Qiu, Jiapan Guo, J. Kraeima, R. J. H. Borra, M. J. H. Witjes, P. M. A. van Ooijen

The proposed convolutional neural network adopts the architecture of the U-Net and then combines the resulting 2D segmentations from three different planes into a 3D segmentation.

Segmentation

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