An effective neural network model for lung nodule detection in CT images with optimal fuzzy model

BKJ Veronica - Multimedia Tools and Applications, 2020 - Springer
Cancer disease is assumed as a gathering of diseases which is initiated because of
uncontrolled cell growth. An early analysis of Lung Nodules (LN) can possibly enhance the …

[HTML][HTML] A subregion-based positron emission tomography/computed tomography (PET/CT) radiomics model for the classification of non-small cell lung cancer …

H Shen, L Chen, K Liu, K Zhao, J Li, L Yu… - … imaging in medicine …, 2021 - ncbi.nlm.nih.gov
Background This study classifies lung adenocarcinoma (ADC) and squamous cell
carcinoma (SCC) using subregion-based radiomics features extracted from positron …

Quantification of cancer-developing idiopathic pulmonary fibrosis using whole-lung texture analysis of HRCT images

CH Liang, YC Liu, YL Wan, CH Yun, WJ Wu… - Cancers, 2021 - mdpi.com
Simple Summary Idiopathic pulmonary fibrosis (IPF) patients have a significantly higher risk
of developing lung cancer. Traditional risk factors including age, male gender, smoking …

Assessment of tumor heterogeneity: Differentiation of periampullary neoplasms based on CT whole-lesion histogram analysis

J Lu, D Hu, H Tang, X Hu, Y Shen, Z Li, Y Peng… - European journal of …, 2019 - Elsevier
Purpose To investigate the utility of whole-lesion histogram analysis from multidetector
computed tomography (MDCT) for discrimination of duodenal adenocarcinoma (DAC) …

Value of 18F-FDG PET/CT-based radiomics model to distinguish the growth patterns of early invasive lung adenocarcinoma manifesting as ground-glass opacity …

X Shao, R Niu, X Shao, Z Jiang, Y Wang - EJNMMI research, 2020 - Springer
Background To establish and validate 18 F-fluorodeoxyglucose (18 F-FDG) PET/CT-based
radiomics model and use it to predict the intermediate-high risk growth patterns in early …

Histogram analysis with computed tomography angiography for discriminating soft tissue sarcoma from benign soft tissue tumor

G Wu, R Xie, Y Li, B Hou, JN Morelli, X Li - Medicine, 2020 - journals.lww.com
To investigate the feasibility of histogram analysis with computed tomography angiography
(CTA) in distinguishing between soft tissue sarcomas and benign soft tissue tumors. Fourty …

Utility of metabolic parameters on FDG PET/CT in the classification of early-stage lung adenocarcinoma: prediction of pathological invasive size

S Iwano, S Ito, S Kamiya, R Ito, K Kato… - Clinical Nuclear …, 2019 - journals.lww.com
Utility of Metabolic Parameters on FDG PET/CT in the Classif... : Clinical Nuclear Medicine
Utility of Metabolic Parameters on FDG PET/CT in the Classification of Early-Stage Lung …

Analyses of size and computed tomography densitometry parameters for prediction of keloid recurrence after postoperative electron beam radiation therapy

H Maemoto, K Ishigami, S Iraha… - Skin Research and …, 2020 - Wiley Online Library
Background The lesion size is a risk factor for keloid recurrence after postoperative
radiotherapy. However, it remains unclear whether the major axis diameter is the most …

Thorax Ct-Scan image and demographic factors of adenocarcinoma and squamous cell carcinoma

R Hidayati, W Soewondo, W Hariyanto - Revista Latinoamericana de …, 2022 - saber.ucv.ve
El cáncer de pulmón es la principal causa de muerte por cáncer en todo el mundo. Como
resultado, las tomografías computarizadas son cruciales en la detección y estadificación del …

[PDF][PDF] The Understanding and Development of Acquiring of Nuclear Medicine Images: A Review of Past, Present and Future

YS Han, SW Park, SY Seo, CS Park, MS Han - Thyroid - academia.edu
Using radioactive isotopes and non-sealed labeling compounds, the brain's mechanism of
action could be analyzed from a molecular perspective using the characteristics of a positron …