CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

[1]  N. Müller,et al.  Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation. , 1991, Radiology.

[2]  Zaid J. Towfic,et al.  The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation , 2007, SPIE Medical Imaging.

[3]  Wei Shen,et al.  Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification , 2017, Pattern Recognit..

[4]  Qiang Lin,et al.  Multi‐slice computed tomography characteristics of solitary pulmonary ground‐glass nodules: Differences between malignant and benign , 2015, Thoracic cancer.

[5]  Hao Chen,et al.  Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis , 2020, IEEE Transactions on Medical Imaging.

[6]  Hongming Shan,et al.  Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping , 2020, Medical Image Anal..

[7]  Zhe Li,et al.  Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[8]  Jian Sun,et al.  Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Weidong Cai,et al.  Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT , 2019, IEEE Transactions on Medical Imaging.

[10]  Andrew A. Berlin,et al.  A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans , 2019, IEEE Transactions on Medical Imaging.

[11]  Wei Shen,et al.  Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction , 2016, MICCAI.

[12]  K. Zhou,et al.  The relationship between solitary pulmonary nodules and bronchi: multi-slice CT-pathological correlation. , 2004, Clinical radiology.

[13]  Aimin Hao,et al.  Multi-view multi-scale CNNs for lung nodule type classification from CT images , 2018, Pattern Recognit..

[14]  Ying Wang,et al.  Smooth or attached solid indeterminate nodules detected at baseline CT screening in the NELSON study: cancer risk during 1 year of follow-up. , 2009, Radiology.

[15]  Jie-Zhi Cheng,et al.  Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images. , 2017, IEEE transactions on medical imaging.