AIMC Topic: Lung Neoplasms

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Automated Lung Cancer Segmentation Using a PET and CT Dual-Modality Deep Learning Neural Network.

International journal of radiation oncology, biology, physics Aug 4, 2022
PURPOSE: To develop an automated lung tumor segmentation method for radiation therapy planning based on deep learning and dual-modality positron emission tomography (PET) and computed tomography (CT) images.
Humans Neural Networks, Computer Image Processing, Computer-Assisted Lung Neoplasms Positron-Emission Tomography Tomography, X-Ray Computed Deep Learning
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A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules.

Medical science monitor : international medical journal of experimental and clinical research Jul 29, 2022
BACKGROUND In this study we aimed to establish a new transfer learning model based on noncontrast and thin-layer computed tomography (CT) scans to distinguish between malignant and benign solid lung nodules. MATERIAL AND METHODS CT images from 202 pa...
Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed Humans Lung Deep Learning
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Comparison of Two-Port and Three-Port Approaches in Robotic Lobectomy for Non-Small Cell Lung Cancer.

World journal of surgery Jul 25, 2022
BACKGROUND: Robot-assisted lobectomy has been used to treat non-small cell lung cancer and usually uses 3 or 4 ports and 3 or 4 robotic arms. We recently developed a two-port approach for robotic lobectomy using three robotic arms and performed a pro...
Pneumonectomy Thoracic Surgery, Video-Assisted Humans Retrospective Studies Robotics Pain, Postoperative Lung Neoplasms Robotic Surgical Procedures Carcinoma, Non-Small-Cell Lung
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Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis.

Frontiers in public health Jul 18, 2022
BACKGROUND: Artificial intelligence has far surpassed previous related technologies in image recognition and is increasingly used in medical image analysis. We aimed to explore the diagnostic accuracy of the models based on deep learning or radiomics...
Lung Neoplasms Neoplasm Staging Lung Humans Deep Learning Artificial Intelligence
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A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation.

BMC bioinformatics Jul 11, 2022
BACKGROUND: DNA Methylation is one of the most important epigenetic processes that are crucial to regulating the functioning of the human genome without altering the DNA sequence. DNA Methylation data for cancer patients are becoming more accessible ...
Deep Learning Lung Neoplasms DNA Methylation Genome, Human Epigenesis, Genetic Humans Female Male
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Comparison of the performances of machine learning and deep learning in improving the quality of low dose lung cancer PET images.

Japanese journal of radiology Jul 9, 2022
PURPOSE: To compare the performances of machine learning (ML) and deep learning (DL) in improving the quality of low dose (LD) lung cancer PET images and the minimum counts required.
Lung Neoplasms Positron-Emission Tomography Deep Learning Image Processing, Computer-Assisted Machine Learning Algorithms Humans
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Applicability analysis of immunotherapy for lung cancer patients based on deep learning.

Methods (San Diego, Calif.) Jul 6, 2022
According to global and Chinese cancer statistics, lung cancer is the second most common cancer globally with the highest mortality rate and a severe threat to human life and health. In recent years, immunotherapy has made significant breakthroughs i...
Lung Neoplasms Immunotherapy Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Tomography, X-Ray Computed Lung Humans Deep Learning Neural Networks, Computer
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Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

Annals of surgical oncology Jul 5, 2022
BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar resection have an unfavorable prognosis compared with those treated with lobectomy. We investigated the potential of incorporating solid attenuation compo...
Adenocarcinoma Attention Adenocarcinoma of Lung Deep Learning Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed Humans
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Visualization of the Associations between the CT Features Extracted from a Deep Learning Survival Prediction Model and Histopathologic Risk Factors.

Radiology Jul 5, 2022
Risk Factors Deep Learning Lung Neoplasms Humans Tomography, X-Ray Computed Adenocarcinoma of Lung
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Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.

Radiology Jul 5, 2022
Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate disease-free survival in patients with resected lung adenocarcinoma. However, the black-box nature of DL hinders interpretation of its results. Purpose To...
Adenocarcinoma of Lung Aged Male Adenocarcinoma Deep Learning Retrospective Studies Middle Aged ErbB Receptors Humans Lung Neoplasms Tomography, X-Ray Computed Female
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