[HTML][HTML] Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey
Lung cancer is among the deadliest cancers. Besides lung nodule classification and
diagnosis, developing non-invasive systems to classify lung cancer histological …
diagnosis, developing non-invasive systems to classify lung cancer histological …
[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: technical aspects and potential clinical applications
R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
[HTML][HTML] Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature
Objective The aim of this study was to identify the most important features and assess their
discriminative power in the classification of the subtypes of NSCLC. Methods This study …
discriminative power in the classification of the subtypes of NSCLC. Methods This study …
Structural and functional radiomics for lung cancer
Introduction Lung cancer ranks second in new cancer cases and first in cancer-related
deaths worldwide. Precision medicine is working on altering treatment approaches and …
deaths worldwide. Precision medicine is working on altering treatment approaches and …
A machine learning model based on PET/CT radiomics and clinical characteristics predicts tumor immune profiles in non-small cell lung cancer: a retrospective …
H Tong, J Sun, J Fang, M Zhang, H Liu, R Xia… - Frontiers in …, 2022 - frontiersin.org
Background The tumor immune microenvironment (TIME) phenotypes have been reported
to mainly impact the efficacy of immunotherapy. Given the increasing use of immunotherapy …
to mainly impact the efficacy of immunotherapy. Given the increasing use of immunotherapy …
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification
Abstract Non-Small Cell Lung Cancer (NSCLC) exhibits intrinsic heterogeneity at the
molecular level that aids in distinguishing between its two prominent subtypes—Lung …
molecular level that aids in distinguishing between its two prominent subtypes—Lung …
Research on the auxiliary classification and diagnosis of lung cancer subtypes based on histopathological images
M Li, X Ma, C Chen, Y Yuan, S Zhang, Z Yan… - Ieee …, 2021 - ieeexplore.ieee.org
Lung cancer (LC) is one of the most serious cancers threatening human health.
Histopathological examination is the gold standard for qualitative and clinical staging of lung …
Histopathological examination is the gold standard for qualitative and clinical staging of lung …
Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and …
X Ma, L Xia, J Chen, W Wan, W Zhou - European Radiology, 2023 - Springer
Objective To develop and validate a deep learning (DL) signature for predicting lymph node
(LN) metastasis in patients with lung adenocarcinoma. Methods A total of 612 patients with …
(LN) metastasis in patients with lung adenocarcinoma. Methods A total of 612 patients with …
Phenotyping the histopathological subtypes of non-small-cell lung carcinoma: how beneficial is radiomics?
The aim of this study was to investigate the usefulness of radiomics in the absence of well-
defined standard guidelines. Specifically, we extracted radiomics features from multicenter …
defined standard guidelines. Specifically, we extracted radiomics features from multicenter …
Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluation of Patients With Newly Diagnosed Non-Small Cell Lung Cancer
J Wu, H Deng, H Zhong, T Wang, Z Rao, Y Wang… - Frontiers in …, 2022 - frontiersin.org
Purpose Several studies have demonstrated that 68Ga-FAPI PET/CT shows high
intratumoral tracer uptake and low normal tissue uptake, allowing for excellent visualization …
intratumoral tracer uptake and low normal tissue uptake, allowing for excellent visualization …