AIMC Topic: Lung Neoplasms

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An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data.

Computational biology and chemistry Aug 24, 2021
To explore the pathogenic mechanisms of MicroRNA (miRNA) on diverse diseases, many researchers have concentrated on discovering the potential associations between miRNA and disease using machine learning methods. However, the prediction accuracy of s...
MicroRNAs Supervised Machine Learning Humans Lung Neoplasms Stomach Neoplasms Computational Biology
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3D-PulCNN: Pulmonary cancer classification from hyperspectral images using convolution combination unit based CNN.

Journal of biophotonics Aug 23, 2021
Pulmonary cancer is one of the most common malignancies worldwide. Accurate classification of its subtypes is required in differential diagnosis. However, existing algorithms are mostly based on color images, and the improvement of accuracy is quite ...
Neural Networks, Computer Algorithms Lung Neoplasms Diagnosis, Differential Humans
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Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning.

Physics in medicine and biology Aug 23, 2021
To develop and evaluate the performance of a deep learning model to generate synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing radiotherapy for lung cancer.. A clinical data set of 58 pre- and post-radiotherapyTc-...
Lung Neoplasms Humans Perfusion Lung Four-Dimensional Computed Tomography Deep Learning
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Dual scope method: A novel application of a simultaneous multi-image display system for a thoracoscopic robotic lobectomy.

Multimedia manual of cardiothoracic surgery : MMCTS Aug 20, 2021
The advantages of a multi-input display system platform in robotic thoracic surgery have not been well described. We report the novel application of a multi-display system for simultaneous visualization of an additional thoracoscopic image during a r...
Humans Lung Neoplasms Thoracic Surgery, Video-Assisted Robotics Robotic Surgical Procedures Pneumonectomy
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Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis.

Scientific reports Aug 18, 2021
Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment, such as extracellular matrix remodeling, reciprocal signaling interactions with cancer cells and crosstalk with infiltrating inflammatory cells. How...
Machine Learning Female Survival Rate Tumor Microenvironment Male Lung Neoplasms Disease-Free Survival Adenocarcinoma of Lung Humans Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Cancer-Associated Fibroblasts
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Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning.

Journal of healthcare engineering Aug 17, 2021
Lung cancer is one of the most malignant tumors. If it can be detected early and treated actively, it can effectively improve a patient's survival rate. Therefore, early diagnosis of lung cancer is very important. Early-stage lung cancer usually appe...
Deep Learning Tomography, X-Ray Computed Humans Precancerous Conditions Sensitivity and Specificity Lung Neoplasms Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Lung
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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.

Scientific reports Aug 16, 2021
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires ...
Sex Factors Datasets as Topic Smoking Area Under Curve Mutation Coloring Agents Adenocarcinoma of Lung Eosine Yellowish-(YS) Hematoxylin Deep Learning ROC Curve Lung Neoplasms Staining and Labeling Carcinoma, Non-Small-Cell Lung Age Factors Adult Male Middle Aged Aged Humans Aged, 80 and over Female
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Managing tumor changes during radiotherapy using a deep learning model.

Medical physics Aug 11, 2021
PURPOSE: We propose a treatment planning framework that accounts for weekly lung tumor shrinkage using cone beam computed tomography (CBCT) images with a deep learning-based model.
Humans Radiotherapy Planning, Computer-Assisted Male Radiotherapy Dosage Deep Learning Radiotherapy, Intensity-Modulated Cone-Beam Computed Tomography Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm.

Computational intelligence and neuroscience Aug 11, 2021
Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs located in the chest. These cells may penetrate outside the lungs in a process called metastasis and spread to tissues and organs in the body. In this p...
Lung Neoplasms Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions.

Chest Aug 9, 2021
BACKGROUND: The landscape of guided bronchoscopy for the sampling of pulmonary parenchymal lesions is evolving rapidly. Shape-sensing robotic-assisted bronchoscopy (ssRAB) recently was introduced as means to allow successful sampling of traditionally...
Humans Retrospective Studies Female Bronchoscopy Male Robotics Feasibility Studies Middle Aged Aged Lung Neoplasms Sensitivity and Specificity
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