AIMC Topic: Lung

Clear Filters Showing 881 to 890 of 984 articles

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Studies in health technology and informatics Jun 6, 2022
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follow-up is the failure to identify abnormal results. While EHRs have coded results for certain tests, cancer screening results are often stored in free-t...
Humans Female Follow-Up Studies Early Detection of Cancer Natural Language Processing Uterine Cervical Neoplasms Lung
View on PubMed DOI

CapsNet-COVID19: Lung CT image classification method based on CapsNet model.

Mathematical biosciences and engineering : MBE Mar 16, 2022
The outbreak of the Corona Virus Disease 2019 (COVID-19) has posed a serious threat to human health and life around the world. As the number of COVID-19 cases continues to increase, many countries are facing problems such as errors in nucleic acid te...
Lung Deep Learning Humans Neural Networks, Computer COVID-19 Tomography, X-Ray Computed
View on PubMed DOI

Lung Cancer Detection Using Machine Learning Techniques.

Critical reviews in biomedical engineering Jan 1, 2022
Cancer has been the deadliest of diseases since decades constituting a large number of deaths annually. Lung cancer remains one of the most significant public health issues, accounting for a substantial proportion of cancer-related deaths globally. D...
Machine Learning Algorithms Humans Lung Lung Neoplasms
View on PubMed

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...
Lung Neoplasms Animals Deep Learning Sea Lions Lung Image Processing, Computer-Assisted Bayes Theorem
View on PubMed DOI

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 Humans Early Detection of Cancer Neural Networks, Computer Lung
View on PubMed DOI

A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
There is still an urgent need to develop effective treatments to help minimize the cases of severe COVID-19. A number of tools have now been developed and applied to address these issues, such as the use of non-contrast chest computed tomography (CT)...
Iran Retrospective Studies Lung Tomography, X-Ray Computed Deep Learning SARS-CoV-2 Humans COVID-19
View on PubMed DOI

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 Retrospective Studies Lung Humans Support Vector Machine ROC Curve Lung Neoplasms
View on PubMed DOI

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...
Neural Networks, Computer Tumor Microenvironment Deep Learning Lung Neoplasms Lung Humans
View on PubMed DOI

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 Lung Neoplasms Radiotherapy Planning, Computer-Assisted Respiration Radiosurgery Deep Learning Cone-Beam Computed Tomography Humans Lung
View on PubMed DOI

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 Artificial Intelligence Retrospective Studies Early Detection of Cancer Deep Learning Tomography, X-Ray Computed Lung Neoplasms Lung
View on PubMed DOI
Popular Topics
Recent Journals