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eess.IV2023
Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism
Han Yang, Qiuli Wang, Yue Zhang +4
Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty.Conv…
eess.IV2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Qiuli Wang, Xin Tan, Chen Liu
Since the pandemic of COVID-19, several deep learning methods were proposed to analyze the chest Computed Tomography (CT) for diagnosis. In the current situation, the disease cours…
eess.IV2021★ 1 cited
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention
Han Yang, Lu Shen, Mengke Zhang +1
Since radiologists have different training and clinical experiences, they may provide various segmentation annotations for a lung nodule. Conventional studies choose a single annot…