Abstract. We propose a learning-based method to automatically segment lung tumor from positron emission tomography (PET)/computed tomography (CT) images.

Lung Tumor Segmentation of PET/CT Using Dual Pyramid Mask R-CNN. Tonghe Wang ... Dual pyramid networks are used as backbone in mask R-CNN to extract ...

In our previous study, we developed an improved hybrid regional network, called dual pyramid mask region-based convolutional neural network (R-CNN) method, ...

Bibliographic details on Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN.

Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN. T. Wang, Y. Lei, S. Tian, T. Liu, W. Curran, K. Higgins, and X. Yang.

Our proposed dual pyramid mask scoring R-CNN (DPMS-R-CNN) receives as an input a pair of PET/CT lung images and either the corresponding manual contour of the ...

Lung tumor detection using PET/CT scanning based on multiscale and multimodality Mask R-CNN ... Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN.

Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN · Tonghe WangY. Lei +4 authors. Xiaofeng Yang. Medicine, Computer Science. Medical Imaging. 2021.

Oct 6, 2022 · Then, the RPN and R-CNN work together to localize lung tumors and reduce the image size and feature map size by removing irrelevant regions. The ...

Nov 20, 2023 · CT and PET data are combined to better understand NSCLC tumours in PET-CT scans and apply DFCN co-segmentation. The recommended DFCN-based co- ...