AIMC Topic: Lung

Clear Filters Showing 391 to 400 of 982 articles

Segmentation of CT Lung Images Using FCM with Active Contour and CNN Classifier.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2022
OBJECTIVE: Lung cancer is one of the unsafe diseases for human which reduces the patient life time. Generally, most of the lung cancers are identified after it has been spread into the lung parts and moreover it is difficult to find the lung cancer a...
Lung Lung Neoplasms Fuzzy Logic Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

Proposing a novel deep network for detecting COVID-19 based on chest images.

Scientific reports Feb 24, 2022
The rapid outbreak of coronavirus threatens humans' life all around the world. Due to the insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick diagnostic tool is of great importance. To date, researchers ...
Humans Neural Networks, Computer SARS-CoV-2 Male Radiography, Thoracic COVID-19 Middle Aged Lung Tomography, X-Ray Computed Female Deep Learning
View on PubMed DOI

Cascaded 3D UNet architecture for segmenting the COVID-19 infection from lung CT volume.

Scientific reports Feb 23, 2022
World Health Organization (WHO) declared COVID-19 (COronaVIrus Disease 2019) as pandemic on March 11, 2020. Ever since then, the virus is undergoing different mutations, with a high rate of dissemination. The diagnosis and prognosis of COVID-19 are c...
COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Lung Humans Deep Learning Pandemics Imaging, Three-Dimensional
View on PubMed DOI

Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 18, 2022
BACKGROUND AND PURPOSE: To develop a novel deep learning algorithm of sequential analysis, Seq2Seq, for predicting weekly anatomical changes of lung tumor and esophagus during definitive radiotherapy, incorporate the potential tumor shrinkage into a ...
Radiotherapy, Intensity-Modulated Lung Neoplasms Humans Radiotherapy Planning, Computer-Assisted Lung Radiotherapy Dosage Deep Learning
View on PubMed DOI

COPD identification and grading based on deep learning of lung parenchyma and bronchial wall in chest CT images.

The British journal of radiology Feb 16, 2022
OBJECTIVE: Chest CT can display the main pathogenic factors of chronic obstructive pulmonary disease (COPD), emphysema and airway wall remodeling. This study aims to establish deep convolutional neural network (CNN) models using these two imaging mar...
Deep Learning Pulmonary Emphysema Emphysema Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Lung Humans Retrospective Studies
View on PubMed DOI

Automatic contouring of normal tissues with deep learning for preclinical radiation studies.

Physics in medicine and biology Feb 9, 2022
Delineation of relevant normal tissues is a bottleneck in image-guided precision radiotherapy workflows for small animals. A deep learning (DL) model for automatic contouring using standardized 3D micro cone-beam CT (CBCT) volumes as input is propose...
Organs at Risk Radiotherapy Planning, Computer-Assisted Thorax Deep Learning Cone-Beam Computed Tomography Animals Image Processing, Computer-Assisted Lung
View on PubMed DOI

Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch.

Scientific reports Feb 3, 2022
Identifying the lung carcinoma subtype in small biopsy specimens is an important part of determining a suitable treatment plan but is often challenging without the help of special and/or immunohistochemical stains. Pathology image analysis that tackl...
Lung Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Neural Networks, Computer Carcinoma, Squamous Cell Small Cell Lung Carcinoma Adenocarcinoma of Lung Eosine Yellowish-(YS) Hematoxylin Area Under Curve Image Interpretation, Computer-Assisted Biopsy Datasets as Topic Histocytochemistry
View on PubMed DOI

A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations.

Sensors (Basel, Switzerland) Feb 1, 2022
Spirometers are important devices for following up patients with respiratory diseases. These are mainly located only at hospitals, with all the disadvantages that this can entail. This limits their use and consequently, the supervision of patients. R...
Adolescent Child, Preschool Spirometry Exhalation Male Humans Middle Aged Young Adult Machine Learning Lung Adult Algorithms Female Aged
View on PubMed DOI

Novel-view X-ray projection synthesis through geometry-integrated deep learning.

Medical image analysis Jan 29, 2022
X-ray imaging is a widely used approach to view the internal structure of a subject for clinical diagnosis, image-guided interventions and decision-making. The X-ray projections acquired at different view angles provide complementary information of p...
Image Processing, Computer-Assisted X-Rays Lung Radiography Deep Learning Humans Phantoms, Imaging Cone-Beam Computed Tomography Algorithms
View on PubMed DOI

: An Automated Diagnosis of Pulmonary Fibrosis Progression Prediction Using Honeycombing and Deep Learning.

Computational intelligence and neuroscience Jan 28, 2022
Pulmonary fibrosis is a severe chronic lung disease that causes irreversible scarring in the tissues of the lungs, which results in the loss of lung capacity. The Forced Vital Capacity () of the patient is an interesting measure to investigate this d...
Vital Capacity Lung Deep Learning Idiopathic Pulmonary Fibrosis Humans Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals