AIMC Topic: Multiple Pulmonary Nodules

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Commentary: Artificial intelligence for pulmonary nodules: Machines to diagnosis cancer.

The Journal of thoracic and cardiovascular surgery Feb 19, 2021
Multiple Pulmonary Nodules Artificial Intelligence Algorithms Humans
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Computer-aided Detection of Subsolid Nodules at Chest CT: Improved Performance with Deep Learning-based CT Section Thickness Reduction.

Radiology Feb 9, 2021
Background Studies on the optimal CT section thickness for detecting subsolid nodules (SSNs) with computer-aided detection (CAD) are lacking. Purpose To assess the effect of CT section thickness on CAD performance in the detection of SSNs and to inve...
Tomography, X-Ray Computed Female Aged Humans Retrospective Studies Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Diagnosis, Computer-Assisted
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Evaluation of a novel deep learning-based classifier for perifissural nodules.

European radiology Dec 2, 2020
OBJECTIVES: To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN).
Humans Lung Neoplasms Deep Learning Multiple Pulmonary Nodules Netherlands Solitary Pulmonary Nodule
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Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning-assisted nodule segmentation.

European radiology Nov 21, 2020
OBJECTIVE: To explore the natural history of pulmonary subsolid nodules (SSNs) with different pathological types by deep learning-assisted nodule segmentation.
Humans Retrospective Studies Multiple Pulmonary Nodules Solitary Pulmonary Nodule Tomography, X-Ray Computed Deep Learning Lung Neoplasms
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Artificial intelligence solution to classify pulmonary nodules on CT.

Diagnostic and interventional imaging Nov 7, 2020
PURPOSE: The purpose of this study was to create an algorithm to detect and classify pulmonary nodules in two categories based on their volume greater than 100 mm or not, using machine learning and deep learning techniques.
Humans Artificial Intelligence Multiple Pulmonary Nodules Tomography, X-Ray Computed Deep Learning Lung Neoplasms
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Development and clinical application of deep learning model for lung nodules screening on CT images.

Scientific reports Aug 12, 2020
Lung cancer screening based on low-dose CT (LDCT) has now been widely applied because of its effectiveness and ease of performance. Radiologists who evaluate a large LDCT screening images face enormous challenges, including mechanical repetition and ...
Solitary Pulmonary Nodule Early Detection of Cancer Image Processing, Computer-Assisted Lung Neoplasms Multiple Pulmonary Nodules Humans Middle Aged Artificial Intelligence Deep Learning Algorithms China Female Retrospective Studies Male Tomography, X-Ray Computed
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Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 1, 2020
BACKGROUND: Convolutional neural networks (CNNs) have been extensively applied to two-dimensional (2D) medical image segmentation, yielding excellent performance. However, their application to three-dimensional (3D) nodule segmentation remains a chal...
Multiple Pulmonary Nodules ROC Curve Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules.

Computational and mathematical methods in medicine Aug 1, 2020
BACKGROUND: The differential diagnosis of subcentimetre lung nodules with a diameter of less than 1 cm has always been one of the problems of imaging doctors and thoracic surgeons. We plan to create a deep learning model for the diagnosis of pulmonar...
Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Deep Learning Multiple Pulmonary Nodules Lung Neoplasms Diagnosis, Differential Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Expert Systems Artificial Intelligence Databases, Factual Expert Testimony Adenocarcinoma of Lung
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Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence.

Academic radiology Jul 1, 2020
RATIONALE AND OBJECTIVES: There has been a significant increase of immunocompromised patients in recent years due to new treatment modalities for previously fatal diseases. This comes at the cost of an elevated risk for infectious diseases, most nota...
Humans Artificial Intelligence Algorithms Retrospective Studies Pneumonia Tomography, X-Ray Computed X-Rays Deep Learning Drug Tapering Multiple Pulmonary Nodules
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Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.

Japanese journal of radiology Jun 26, 2020
PURPOSE: To evaluate the performance of a deep learning-based computer-aided diagnosis (CAD) system at detecting pulmonary nodules on CT by comparing radiologists' readings with and without CAD.
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Retrospective Studies Middle Aged Tomography, X-Ray Computed Lung Female Diagnosis, Computer-Assisted Young Adult Humans Adult Sensitivity and Specificity Male Reproducibility of Results Aged Aged, 80 and over
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