Related references
Note: Only part of the references are listed.Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Ramprasaath R. Selvaraju et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing
Andreas M. Fischer et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2020)
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
Yingli Sun et al.
EUROPEAN RADIOLOGY (2020)
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Diego Ardila et al.
NATURE MEDICINE (2019)
Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning
Marton Kolossvary et al.
JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY (2019)
Lung Adenocarcinoma Manifesting as Ground-Glass Opacity Nodules 3 cm or Smaller: Evaluation With Combined High-Resolution CT and PET/CT Modality
Rong Niu et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma A preliminary study
Masahiro Yanagawa et al.
MEDICINE (2019)
Application of Radiomics in Predicting the Malignancy of Pulmonary Nodules in Different Sizes
Yan Xu et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
Effect of CT Reconstruction Algorithm on the Diagnostic Performance of Radiomics Models: A Task-Based Approach for Pulmonary Subsolid Nodules
Hyungjin Kim et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
Radiomics in Pulmonary Lesion Imaging
Cameron Hassani et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2019)
HRCT morphological characteristics distinguishing minimally invasive pulmonary adenocarcinoma from invasive pulmonary adenocarcinoma appearing as subsolid nodules with a diameter of ≤3 cm
X. Yue et al.
CLINICAL RADIOLOGY (2018)
Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters
Roberto Berenguer et al.
RADIOLOGY (2018)
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
Wei Zhao et al.
CANCER RESEARCH (2018)
Imaging features of TSCT predict the classification of pulmonary preinvasive lesion, minimally and invasive adenocarcinoma presented as ground glass nodules
Yinan Liu et al.
LUNG CANCER (2017)
Computer-Aided Diagnosis of Ground-Glass Opacity Nodules Using Open-Source Software for Quantifying Tumor Heterogeneity
Ming Li et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
The Eighth Edition Lung Cancer Stage Classification
Frank C. Detterbeck et al.
CHEST (2017)
HRCT features distinguishing pre-invasive from invasive pulmonary adenocarcinomas appearing as ground-glass nodules
Yu Zhang et al.
EUROPEAN RADIOLOGY (2016)
Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management
Sarah J. van Riel et al.
RADIOLOGY (2015)
Towards better clinical prediction models: seven steps for development and an ABCD for validation
Ewout W. Steyerberg et al.
EUROPEAN HEART JOURNAL (2014)
Sublobar resection is equivalent to lobectomy for clinical stage 1A lung cancer in solid nodules
Nasser K. Altorki et al.
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2014)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (vol 5, pg 4006, 2014)
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
Why Do Pathological Stage IA Lung Adenocarcinomas Vary from Prognosis?: A Clinicopathologic Study of 176 Patients with Pathological Stage IA Lung Adenocarcinoma Based on the IASLC/ATS/ERS Classification
Jie Zhang et al.
JOURNAL OF THORACIC ONCOLOGY (2013)
Invasive Pulmonary Adenocarcinomas versus Preinvasive Lesions Appearing as Ground-Glass Nodules: Differentiation by Using CT Features
Sang Min Lee et al.
RADIOLOGY (2013)
International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma
William D. Travis et al.
JOURNAL OF THORACIC ONCOLOGY (2011)
Fleischner Society: Glossary of terms tor thoracic imaging
David M. Hansell et al.
RADIOLOGY (2008)
Natural history of pure ground-glass opacity after long-term follow-up of more than 2 years
K Kodama et al.
ANNALS OF THORACIC SURGERY (2002)