AIMC Topic: Lung Neoplasms

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Optimized Deformable Model-based Segmentation and Deep Learning for Lung Cancer Classification.

The journal of medical investigation : JMI Jan 1, 2022
Lung cancer is one of the life taking disease and causes more deaths worldwide. Early detection and treatment is necessary to save life. It is very difficult for doctors to interpret and identify diseases using imaging modalities alone. Therefore com...
Sea Lions Animals Image Processing, Computer-Assisted Lung Deep Learning Lung Neoplasms Bayes Theorem
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LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification.

Technology in cancer research & treatment Jan 1, 2022
The only possible solution to increase the patients' fatality rate is lung cancer early-stage detection. Recently, deep learning techniques became the most promising methods in medical image analysis compared with other numerous computer-aided diagn...
Lung Neoplasms Early Detection of Cancer Neural Networks, Computer Lung Humans
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Parameter tuning in machine learning based on radiomics biomarkers of lung cancer.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Lung cancer is one of the most common cancers, and early diagnosis and intervention can improve cancer cure rate.
Machine Learning Biomarkers ROC Curve Lung Neoplasms Humans Retrospective Studies Support Vector Machine Lung
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Inferring Cell-type-specific Genes of Lung Cancer Based on Deep Learning.

Current gene therapy Jan 1, 2022
BACKGROUND: Lung cancer is cancer with the highest incidence in the world, and there is obvious heterogeneity within its tumor. The emergence of single-cell sequencing technology allows researchers to obtain cell-type-specific expression genes at the...
Lung Neoplasms Humans Neural Networks, Computer Lung Deep Learning Tumor Microenvironment
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Deep Learning-Based Internal Target Volume (ITV) Prediction Using Cone-Beam CT Images in Lung Stereotactic Body Radiotherapy.

Technology in cancer research & treatment Jan 1, 2022
This study aims to develop a deep learning (DL)-based (Mask R-CNN) method to predict the internal target volume (ITV) in cone beam computed tomography (CBCT) images for lung stereotactic body radiotherapy (SBRT) patients and to evaluate the predictio...
Four-Dimensional Computed Tomography Cone-Beam Computed Tomography Lung Neoplasms Respiration Radiosurgery Radiotherapy Planning, Computer-Assisted Humans Lung Deep Learning
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Elevated Coronary Artery Calcium Quantified by a Validated Deep Learning Model From Lung Cancer Radiotherapy Planning Scans Predicts Mortality.

JCO clinical cancer informatics Jan 1, 2022
PURPOSE: Coronary artery calcium (CAC) quantified on computed tomography (CT) scans is a robust predictor of atherosclerotic coronary disease; however, the feasibility and relevance of quantitating CAC from lung cancer radiotherapy planning CT scans ...
Retrospective Studies Risk Factors Humans Calcium Coronary Vessels Deep Learning Lung Neoplasms
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Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer.

PET clinics Jan 1, 2022
The ability of a computer to perform tasks normally requiring human intelligence or artificial intelligence (AI) is not new. However, until recently, practical applications in medical imaging were limited, especially in the clinic. With advances in t...
Humans Positron-Emission Tomography Prognosis Lung Neoplasms Artificial Intelligence Precision Medicine
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Artificial intelligence: opportunities in lung cancer.

Current opinion in oncology Jan 1, 2022
PURPOSE OF REVIEW: In this article, we focus on the role of artificial intelligence in the management of lung cancer. We summarized commonly used algorithms, current applications and challenges of artificial intelligence in lung cancer.
Humans Lung Neoplasms Early Detection of Cancer Machine Learning Artificial Intelligence Algorithms
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Lung Nodule Detectability of Artificial Intelligence-assisted CT Image Reading in Lung Cancer Screening.

Current medical imaging Jan 1, 2022
BACKGROUND: Artificial Intelligence (AI)-based automatic lung nodule detection system improves the detection rate of nodules. It is important to evaluate the clinical value of the AI system by comparing AI-assisted nodule detection with actual radiol...
Humans Deep Learning Artificial Intelligence Lung Neoplasms Tomography, X-Ray Computed Early Detection of Cancer Retrospective Studies Lung
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Efficacy and safety of carboplatin with nab-paclitaxel versus docetaxel in older patients with squamous non-small-cell lung cancer (CAPITAL): a randomised, multicentre, open-label, phase 3 trial.

The lancet. Healthy longevity Dec 1, 2021
BACKGROUND: In Japan, docetaxel, a cytotoxic monotherapy, is the standard drug administered to older patients with advanced non-small-cell lung cancer (NSCLC). Carboplatin plus nab-paclitaxel has shown a high objective response rate in patients with ...
Paclitaxel Lung Neoplasms Docetaxel Antineoplastic Combined Chemotherapy Protocols Leukopenia Humans Albumins Carcinoma, Non-Small-Cell Lung Aged Carcinoma, Squamous Cell Carboplatin Aged, 80 and over
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