AIMC Topic: Lung Neoplasms

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Automatic classification of lung nodule candidates based on a novel 3D convolution network and knowledge transferred from a 2D network.

Medical physics Nov 6, 2019
OBJECTIVE: In the automatic lung nodule detection system, the authenticity of a large number of nodule candidates needs to be judged, which is a classification task. However, the variable shapes and sizes of the lung nodules have posed a great challe...
Neural Networks, Computer Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Lung Neoplasms Knowledge Bases Automation
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Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline.

Computer methods and programs in biomedicine Nov 2, 2019
The early identification of malignant pulmonary nodules is critical for a better lung cancer prognosis and less invasive chemo or radio therapies. Nodule malignancy assessment done by radiologists is extremely useful for planning a preventive interve...
Solitary Pulmonary Nodule Datasets as Topic Neural Networks, Computer Deep Learning Lung Neoplasms Humans
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A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans.

IEEE transactions on medical imaging Oct 29, 2019
We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-dose CT scans that produces meaningful probability assessments. Our system is based entirely on 3D convolutional neural networks and achieves state-of...
Early Detection of Cancer Deep Learning Imaging, Three-Dimensional Lung Neoplasms Humans Tomography, X-Ray Computed
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Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.

Artificial intelligence in medicine Oct 28, 2019
Lung cancer is the leading cause of cancer death worldwide. Early detection of lung cancer is helpful to provide the best possible clinical treatment for patients. Due to the limited number of radiologist and the huge number of chest x-ray radiograph...
Lung Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans
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MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.

IEEE journal of biomedical and health informatics Oct 25, 2019
Lung cancer postoperative complication prediction (PCP) is significant for decreasing the perioperative mortality rate after lung cancer surgery. In this paper we concentrate on two PCP tasks: (1) the binary classification for predicting whether a pa...
Humans Neural Networks, Computer Lung Neoplasms Models, Statistical Medical Informatics Applications Female Male Postoperative Complications
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Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Radiosurgery Cardiotoxicity Neoplasm Staging Radiotherapy Dosage Survival Rate Carcinoma, Squamous Cell Lung Neoplasms Male Aged Carcinoma, Non-Small-Cell Lung Humans Middle Aged Follow-Up Studies Neural Networks, Computer Aged, 80 and over Retrospective Studies Female
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Deep learning to stratify lung nodules on annual follow-up CT.

The Lancet. Digital health Oct 17, 2019
Lung Deep Learning Lung Neoplasms Follow-Up Studies Early Detection of Cancer Humans Tomography, X-Ray Computed
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Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

The Lancet. Digital health Oct 17, 2019
BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the largest lung nodule in the prior computed tomography (CT) or appearance of new nodule to determine the timing of the next CT. We aimed at developing a mo...
Double-Blind Method Male Tomography, X-Ray Computed Humans Female Deep Learning Middle Aged Aged Algorithms Lung Neoplasms Risk Assessment Early Detection of Cancer
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A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation.

Scientific reports Oct 16, 2019
In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumor target delineation and treatment delivery, thus making active motion management an essential step in thoracic and abdominal tumor treatment. In curr...
Respiration Radiation Dosage Movement Lung Gamma Rays Humans Lung Neoplasms Radiotherapy, Computer-Assisted Machine Learning Image Interpretation, Computer-Assisted
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Robotic anatomic pulmonary segmentectomy: technical approach and outcomes.

Revista do Colegio Brasileiro de Cirurgioes Sep 30, 2019
OBJECTIVE: to report our initial experience with pulmonary robotic segmentectomy, describing the surgical technique, the preferred positioning of portals, initial results and outcomes.
Indocyanine Green Prospective Studies Female Aged Robotic Surgical Procedures Humans Adenocarcinoma Male Pneumonectomy Robotics Middle Aged Minimally Invasive Surgical Procedures Lung Neoplasms
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