3 papers
eess.IV2021
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
Minghui Zhang, Xin Yu, Hanxiao Zhang +5
3D Convolutional Neural Networks (CNNs) have been widely adopted for airway segmentation. The performance of 3D CNNs is greatly influenced by the dataset while the public airway da…
cs.NE2020
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Boyu Zhang, A. K. Qin, Hong Pan +1
Conventional DNN training paradigms typically rely on one training set and one validation set, obtained by partitioning an annotated dataset used for training, namely gross trainin…
eess.IV2020
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
Ziqiang Li, Hong Pan, Yaping Zhu +1
Precise segmentation of organs and tumors plays a crucial role in clinical applications. It is a challenging task due to the irregular shapes and various sizes of organs and tumors…