no code implementations • 30 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.
no code implementations • 13 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.
no code implementations • 11 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.
no code implementations • 18 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.