AIMC Topic: Solitary Pulmonary Nodule

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Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital. A reply.

Clinical radiology Dec 14, 2021
Deep Learning Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Computers Hospitals, Teaching
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Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Dec 11, 2021
Deep Learning Multiple Pulmonary Nodules Solitary Pulmonary Nodule Hospitals, Teaching Humans Computers
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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.

European journal of radiology Nov 24, 2021
OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) system in a Chinese low-dose CT (LDCT) lung cancer screening program.
Deep Learning China Lung Neoplasms Reproducibility of Results Sensitivity and Specificity Lung Solitary Pulmonary Nodule Early Detection of Cancer Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed
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CAD system for lung nodule detection using deep learning with CNN.

Medical & biological engineering & computing Nov 22, 2021
The early detection of pulmonary nodules using computer-aided diagnosis (CAD) systems is very essential in reducing mortality rates of lung cancer. In this paper, we propose a new deep learning approach to improve the classification accuracy of pulmo...
Humans Lung Diagnosis, Computer-Assisted Bayes Theorem Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule
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Identification of Benign and Malignant Lung Nodules in CT Images Based on Ensemble Learning Method.

Interdisciplinary sciences, computational life sciences Nov 2, 2021
BACKGROUND AND OBJECTIVE: Under the background of urgent need for computer-aided technology to provide physicians with objective decision support, aiming at reducing the false positive rate of nodule CT detection in pulmonary nodules detection and im...
Radiographic Image Interpretation, Computer-Assisted Machine Learning Tomography, X-Ray Computed Diagnosis, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Humans Diagnosis, Differential
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One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 23, 2021
OBJECTIVES: We aim to evaluate a deep learning (DL) model and radiomic model for preoperative differentiation of nodular cryptococcosis from solitary lung cancer in patients with malignant features on CT images.
Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Cryptococcosis Humans Retrospective Studies Tomography, X-Ray Computed
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A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.

Computers in biology and medicine Aug 25, 2021
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung Screening Trial, patients who underwent low-dose computed tomography (CT) scanning once a year for 3 years showed a 20% decline in lung cancer mortality. To...
Humans Computers Tomography, X-Ray Computed Lung Neoplasms Sensitivity and Specificity Solitary Pulmonary Nodule Lung Radiographic Image Interpretation, Computer-Assisted Deep Learning
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Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Aug 14, 2021
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmonary nodule detection on computed tomography (CT) images and assess its added value in the clinical practice of a large teaching hospital.
Aged, 80 and over Hospitals, Teaching Young Adult Female Adult Multiple Pulmonary Nodules Reproducibility of Results Solitary Pulmonary Nodule Aged Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans Lung Male Retrospective Studies Deep Learning Middle Aged Tomography, X-Ray Computed Adolescent
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Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.

Scientific reports Aug 4, 2021
We present a method to generate synthetic thorax radiographs with realistic nodules from CT scans, and a perfect ground truth knowledge. We evaluated the detection performance of nine radiologists and two convolutional neural networks in a reader stu...
Radiographic Image Interpretation, Computer-Assisted Observer Variation Radiography, Thoracic Humans Neural Networks, Computer Solitary Pulmonary Nodule Radiologists ROC Curve Multiple Pulmonary Nodules
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MRI Image Segmentation Model with Support Vector Machine Algorithm in Diagnosis of Solitary Pulmonary Nodule.

Contrast media & molecular imaging Jul 20, 2021
This study focused on the application value of MRI images processed by a Support Vector Machine (SVM) algorithm-based model in diagnosis of benign and malignant solitary pulmonary nodule (SPN). The SVM algorithm was constrained by a self-paced regula...
Follow-Up Studies Solitary Pulmonary Nodule Diffusion Magnetic Resonance Imaging Adult Female Male Humans Image Processing, Computer-Assisted Aged Middle Aged Algorithms Lung Neoplasms Young Adult Prognosis Support Vector Machine
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