Results 41 to 50 of about 971,492 (311)

Lung Nodule Detection in Screening Computed Tomography [PDF]

open access: yes, 2006
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical Computed Tomography (CT) images with 1.25 mm slice thickness is presented.
Cerello, P   +4 more
core   +2 more sources

Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution

open access: yesDiagnostics
Background/Objectives: Accurate volumetric assessment of lung nodules is an essential element of low-dose lung cancer screening programs. Current guidance recommends applying specific thresholds to measured nodule volume to make the following clinical ...
Dongok Kim   +4 more
doaj   +1 more source

AWEU-Net: an attention-aware weight excitation U-Net for lung nodule segmentation. [PDF]

open access: yes, 2021
Lung cancer is a deadly cancer that causes millions of deaths every year around the world. Accurate lung nodule detection and segmentation in computed tomography (CT) images is a vital step for diagnosing lung cancer early.
Abdel-Nasser, Mohamed   +9 more
core   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Prevalence and risk factors of lung nodules in a non-smoking Chinese population: a prospective study of low-dose computed tomography screening

open access: yesBMC Pulmonary Medicine
Background Low-dose computed tomography (LDCT) has significantly improved early detection of lung cancer, especially among high-risk populations. However, the risk factors and lung nodule distributions in non-smoking populations remain underexplored ...
Wei Tang   +11 more
doaj   +1 more source

Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2018
Objective: chest computed tomography (CT) images and their quantitative analyses have become increasingly important for a variety of purposes, including lung parenchyma density analysis, airway analysis, diaphragm mechanics analysis, and nodule detection
Heewon Chung   +4 more
doaj   +1 more source

DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation

open access: yesSensors, 2023
Measuring pulmonary nodules accurately can help the early diagnosis of lung cancer, which can increase the survival rate among patients. Numerous techniques for lung nodule segmentation have been developed; however, most of them either rely on the 3D ...
Muhammad Usman, Yeong-Gil Shin
doaj   +1 more source

Pulmonary sarcoidosis presenting as a solitary nodule mimicking lung cancer

open access: yes, 2021
Nodular sarcoidosis is a rare form of sarcoidosis. It is difficult to differentiate from malignancy based on radiological findings. Histological examination is important, and sarcoidosis should be considered as differential diagnosis of solitary lung ...
Takahito Nakamura, Tomoyo Taketa
core   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

open access: yesMolecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang   +9 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

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