Medical Physics • Vol 50 • No 10
Whole‐body tumor segmentation from PET/CT images using a two‐stage cascaded neural network with camouflaged object detection mechanisms
May 2023 • Jiangping He, Yanjie Zhang, Maggie Chung, M. Wang, Kun Wang, Yan Ma, Xiaoyang Ding, Qiang Li, Yonglin Pu
Abstract Background Whole‐body Metabolic Tumor Volume (MTVwb) is an independent prognostic factor for overall survival in lung cancer patients. Automatic segmentation methods have been proposed for MTV calculation. Nevertheless, most of existing methods for patients with lung cancer only segment tumors in the thoracic region. Purpose In this paper, we present a Two‐Stage cascaded neural network integrated with Camouflaged Object Detection mEchanisms (TS‐Code‐Net) for automatic segmenting tumors from whole‐body PET…