Integration of PET/CT radiomics and semantic features for differentiation between active pulmonary tuberculosis and lung cancer
Purpose We aim to accurately differentiate between active pulmonary tuberculosis (TB) and
lung cancer (LC) based on radiomics and semantic features as extracted from pre-treatment …
lung cancer (LC) based on radiomics and semantic features as extracted from pre-treatment …
Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: application to nasopharyngeal carcinoma post-therapy …
D Du, H Feng, W Lv, S Ashrafinia, Q Yuan… - Molecular imaging and …, 2020 - Springer
Purpose To identify optimal machine learning methods for radiomics-based differentiation of
local recurrence versus inflammation from post-treatment nasopharyngeal positron …
local recurrence versus inflammation from post-treatment nasopharyngeal positron …
Subregional radiomics analysis of PET/CT imaging with intratumor partitioning: application to prognosis for nasopharyngeal carcinoma
Purpose This work aims to identify intratumoral habitats with distinct heterogeneity based on
2-deoxy-2-[ 18 F]fluro-d-glucose positron emission tomography (PET)/X-ray computed …
2-deoxy-2-[ 18 F]fluro-d-glucose positron emission tomography (PET)/X-ray computed …
Complementary value of intra-and peri-tumoral PET/CT radiomics for outcome prediction in head and neck cancer
To investigate the prognostic value of peri-tumoral radiomics features of pre-treatment PET/CT
images in patients with head and neck cancer. 166 patients from 4 centers (111 for …
images in patients with head and neck cancer. 166 patients from 4 centers (111 for …
[HTML][HTML] Imbalanced data correction based PET/CT radiomics model for predicting lymph node metastasis in clinical stage T1 lung adenocarcinoma
J Lv, X Chen, X Liu, D Du, W Lv, L Lu, H Wu - Frontiers in Oncology, 2022 - frontiersin.org
Objectives To develop and validate the imbalanced data correction based PET/CT
radiomics model for predicting lymph node metastasis (LNM) in clinical stage T1 lung …
radiomics model for predicting lymph node metastasis (LNM) in clinical stage T1 lung …
Derivation of water quality criteria for representative water-body pollutants in China
FC Wu, CL Feng, RQ Zhang, YS Li, DY Du - Science China Earth Sciences, 2012 - Springer
In this study, toxicological data for zinc (Zn), cadmium (Cd), hexavalent chromium (Cr (VI)),
benzene, and nitrobenzene were collected from various databases and publications, …
benzene, and nitrobenzene were collected from various databases and publications, …
Deep learning PET/CT‐based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer
X Zhang, X Dong, MI Saripan, D Du, Y Wu… - Thoracic …, 2023 - Wiley Online Library
Background Radiomic diagnosis models generally consider only a single dimension of
information, leading to limitations in their diagnostic accuracy and reliability. The integration of …
information, leading to limitations in their diagnostic accuracy and reliability. The integration of …
Distributing CRC bits to aid polar decoding
J Chen, Y Chen, K Jayasinghe, D Du… - 2017 IEEE Globecom …, 2017 - ieeexplore.ieee.org
One recent and important advancement in information and coding theory is polar code, which
is selected as the coding scheme for 5G eMBB control channels. In this paper, we propose …
is selected as the coding scheme for 5G eMBB control channels. In this paper, we propose …
Evaluation of the diagnostic value of joint PET myocardial perfusion and metabolic imaging for vascular stenosis in patients with obstructive coronary artery disease
F Wang, W Xu, W Lv, D Du, H Feng, X Zhang… - Journal of Nuclear …, 2021 - Elsevier
Background To investigate the diagnostic value of joint PET myocardial perfusion and
metabolic imaging for vascular stenosis in patients with suspected obstructive coronary artery …
metabolic imaging for vascular stenosis in patients with suspected obstructive coronary artery …
[HTML][HTML] Identification of stage IIIC/IV EGFR-mutated non-small cell lung cancer populations sensitive to targeted therapy based on a PET/CT radiomics risk model
D Shao, D Du, H Liu, J Lv, Y Cheng, H Zhang… - Frontiers in …, 2021 - frontiersin.org
Objectives: This project aimed to construct an individualized PET/CT prognostic biomarker
to accurately quantify the progression risk of patients with stage IIIC-IV epidermal growth …
to accurately quantify the progression risk of patients with stage IIIC-IV epidermal growth …