AIMC Topic: Lung Neoplasms

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Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm.

PloS one Aug 17, 2023
Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung cancer diagnosis and detection would reliably promot...
Lung Neoplasms Hospitals, Teaching Hemorrhagic Fever, Ebola Tomography, X-Ray Computed Humans Deep Learning Algorithms
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The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Aug 16, 2023
INTRODUCTION: With global adoption of computed tomography (CT) lung cancer screening, there is increasing interest to use artificial intelligence (AI) deep learning methods to improve the clinical management process. To enable AI research using an op...
Emphysema Artificial Intelligence Lung Humans Lung Neoplasms Early Detection of Cancer Deep Learning
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Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective.

Computers in biology and medicine Aug 14, 2023
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, such as skin, breast, and lung cancer. AI is an advanced form of technology that uses mathematical-based algorithmic principles similar to those of the ...
Algorithms Lung Neoplasms Artificial Intelligence Machine Learning Breast Humans
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Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors.

Radiation oncology (London, England) Aug 14, 2023
BACKGROUND AND PURPOSE: Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan adaptation to the anatomy of the day. In the current MRgRT workflow, this requires the time consuming and repetitive task of manual delineation of or...
Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Humans Deep Learning Retrospective Studies Lung Neoplasms Image Processing, Computer-Assisted Organs at Risk
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Deep Learning for Predicting Effect of Neoadjuvant Therapies in Non-Small Cell Lung Carcinomas With Histologic Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 12, 2023
Neoadjuvant therapies are used for locally advanced non-small cell lung carcinomas, whereby pathologists histologically evaluate the effect using resected specimens. Major pathological response (MPR) has recently been used for treatment evaluation an...
Reproducibility of Results Deep Learning Neoadjuvant Therapy Carcinoma, Non-Small-Cell Lung Lung Neoplasms Humans Eosine Yellowish-(YS) Hematoxylin
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Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios.

Physical and engineering sciences in medicine Aug 7, 2023
This study aimed to investigate the robustness of a deep learning (DL) fusion model for low training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in three-dimensional planning computed tomography (CT) images for lung...
Datasets as Topic Deep Learning Lung Neoplasms Aged Aged, 80 and over Male Middle Aged Adult Computer Simulation Female Humans
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Machine learning-based ensemble approach in prediction of lung cancer predisposition using XRCC1 gene polymorphism.

Journal of biomolecular structure & dynamics Aug 6, 2023
The employment of machine learning approaches has shown promising results in predicting cancer. In the current study, polymorphisms data of five single nucleotide polymorphisms (SNPs) of DNA repair gene XRCC1 (XRCC1 399, XRCC1 194, XRCC1 206, XRCC1 6...
Humans Genetic Predisposition to Disease Polymorphism, Single Nucleotide X-ray Repair Cross Complementing Protein 1 Machine Learning Lung Neoplasms
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Starting a robotic thoracic surgery program: From wedge resection to sleeve lobectomy in six months. Initial conclusions.

Cirugia espanola Aug 6, 2023
INTRODUCTION: Robot-assisted thoracic surgery (RATS) is a rapidly expanding technique. In our study, we aimed to analyze the results of the process to adopt robotic surgery in our Department of Thoracic Surgery.
Pneumonectomy Thoracic Surgery Robotics Humans Robotic Surgical Procedures Lung Neoplasms
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Standardized Classification of Lung Adenocarcinoma Subtypes and Improvement of Grading Assessment Through Deep Learning.

The American journal of pathology Aug 5, 2023
The histopathologic distinction of lung adenocarcinoma (LADC) subtypes is subject to high interobserver variability, which can compromise the optimal assessment of patient prognosis. Therefore, this study developed convolutional neural networks capab...
GRADE Approach Deep Learning Lung Neoplasms Adenocarcinoma Adenocarcinoma of Lung Humans
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Editorial Comment: Implementing an End-to-End Deep Learning Model in the Task of Differentiating Pure Ground-Glass Nodules on Chest CT.

AJR. American journal of roentgenology Aug 2, 2023
Humans Tomography, X-Ray Computed Deep Learning Lung Neoplasms Lung Adenocarcinoma
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