[HTML][HTML] Prior-aware autoencoders for lung pathology segmentation
Segmentation of lung pathology in Computed Tomography (CT) images is of great
importance for lung disease screening. However, the presence of different types of lung …
importance for lung disease screening. However, the presence of different types of lung …
[HTML][HTML] Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary …
Background This study set out to develop a computed tomography (CT)-based wavelet
transforming radiomics approach for grading pulmonary lesions caused by COVID-19 and to …
transforming radiomics approach for grading pulmonary lesions caused by COVID-19 and to …
CTumorGAN: a unified framework for automatic computed tomography tumor segmentation
Purpose Unlike the normal organ segmentation task, automatic tumor segmentation is a
more challenging task because of the existence of similar visual characteristics between …
more challenging task because of the existence of similar visual characteristics between …
The application of machine learning and deep learning radiomics in the treatment of esophageal cancer
J Yi, Y Wu, B Ning, J Zhang, M Pleshkov… - Radiation Medicine …, 2023 - mednexus.org
Esophageal cancer (EC) is a very aggressive disease with most cases diagnosed at
advanced stages. Early detection and prognosis prediction are of clinical significance in the …
advanced stages. Early detection and prognosis prediction are of clinical significance in the …
Lung cancer tumor region segmentation using recurrent 3d-denseunet
The performance of a computer-aided automated diagnosis system of lung cancer from
Computed Tomography (CT) volumetric images greatly depends on the accurate detection …
Computed Tomography (CT) volumetric images greatly depends on the accurate detection …
A pipeline for lung tumor detection and segmentation from CT scans using dilated convolutional neural networks
Lung cancer is the most prevalent cancer worldwide with about 230,000 new cases every
year. Most cases go undiagnosed until it's too late, especially in develo** countries and …
year. Most cases go undiagnosed until it's too late, especially in develo** countries and …
[HTML][HTML] Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung …
Y Dong, Z Jiang, C Li, S Dong, S Zhang… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Background: We developed and validated novel radiomics-based nomograms to identify
epidermal growth factor receptor (EGFR) mutations and the Ki-67 proliferation index of non …
epidermal growth factor receptor (EGFR) mutations and the Ki-67 proliferation index of non …
Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma
Y Fan, Y Dong, H Wang, H Wang, X Sun, X Wang… - European …, 2022 - Springer
Objectives This study aims to explore values of multi-parametric MRI–based radiomics for
detecting the epidermal growth factor receptor (EGFR) mutation and resistance (T790M) …
detecting the epidermal growth factor receptor (EGFR) mutation and resistance (T790M) …
Detection of Head Raising Rate of Students in Classroom Based on Head Posture Recognition.
Q Guo - Traitement du Signal, 2020 - search.ebscohost.com
The proliferation of smart mobile terminals has weakened the attention and reduced the
learning efficiency of students, making them more likely to lower their heads. To quantify the …
learning efficiency of students, making them more likely to lower their heads. To quantify the …
Development and validation of MRI-based radiomics signatures as new markers for preoperative assessment of EGFR mutation and subtypes from bone metastases
Y Fan, Y Dong, X Sun, H Wang, P Zhao, H Wang… - BMC cancer, 2022 - Springer
Background This study aimed to develop and externally validate contrast-enhanced (CE) T1-
weighted MRI-based radiomics for the identification of epidermal growth factor receptor …
weighted MRI-based radiomics for the identification of epidermal growth factor receptor …