Results 71 to 80 of about 82,903 (262)

Radiomics and Delta-Radiomics Signatures to Predict Response and Survival in Patients with Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors

Cancers, 2023
Simple Summary Accurate and early selection of patients with advanced non-small-cell lung cancer (NSCLC) who would benefit from immunotherapy is of the utmost clinical importance.
F. Cousin, Thomas Louis, Sophie Dheur, F. Aboubakar, B. Ghaye, M. Occhipinti, W. Vos, F. Bottari, A. Paulus, A. Sibille, F. Vaillant, B. Duysinx, J. Guiot, R. Hustinx   +13 more
semanticscholar   +1 more source

Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach

Multimodal Technologies and Interaction
Radiomics involves extracting quantitative features from medical images, resulting in high-dimensional data. Unsupervised clustering has been used to discover patterns in radiomic features, potentially yielding hidden biological insights.
S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino Varghese, Vinay Duddalwar, Steven Y. Cen   +6 more
doaj   +1 more source

Differentiation of retroperitoneal paragangliomas and schwannomas based on computed tomography radiomics

Scientific Reports, 2023
The purpose of this study was to differentiate the retroperitoneal paragangliomas and schwannomas using computed tomography (CT) radiomics. This study included 112 patients from two centers who pathologically confirmed retroperitoneal pheochromocytomas ...
Yuntai Cao, Zhan Wang, Jialiang Ren, Wencun Liu, Huiwen Da, Xiaotong Yang, Haihua Bao   +6 more
doaj   +1 more source

Radiomics-Based Outcome Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy [PDF]

, 2020
(1) Background: Radiomics use high-throughput mining of medical imaging data to extract unique information and predict tumor behavior. Currently available clinical prediction models poorly predict treatment outcomes in pancreatic adenocarcinoma ...
Baine, Michael, Bavitz, Kyle, Du, Qian, Hollingsworth, Michael, Kamal, Ahsan, Liang, Xiaoying, Lin, Chi, McAlister, Josiah, Parr, Elsa, Rux, Gerard, Zhang, Chi, Zheng, Dandan   +11 more
core   +1 more source

Moddicom: a Complete and Easily Accessible Library for Prognostic Evaluations Relying on Image Features [PDF]

, 2015
Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e.
Alitto, Anna Rita, Autorino, Rosa, Boldrini, Luca, Damiani, Andrea, Dinapoli, Nicola, Gatta, Roberto, Valentini, Vincenzo, Vallati, Mauro   +7 more
core   +1 more source

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

Frontiers in Oncology, 2022
The high-throughput extraction of quantitative imaging features from medical images for the purpose of radiomic analysis, i.e., radiomics in a broad sense, is a rapidly developing and emerging research field that has been attracting increasing interest ...
Xing-wei Zhang, Yanchun Zhang, Guijuan Zhang, Xingting Qiu, Wenjun Tan, Xiaoxia Yin, Liefa Liao   +6 more
semanticscholar   +1 more source

Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images [PDF]

, 2018
Breast cancer is one of the most common types of cancer and leading cancer-related death causes for women. In the context of ICIAR 2018 Grand Challenge on Breast Cancer Histology Images, we compare one handcrafted feature extractor and five transfer ...
FA Spanhol, G Biau, H Aerts, J Bill, JK Chan, JS Meyer, NA Hamilton, T Araújo, TP Coroller   +8 more
core   +4 more sources

Value of 18F-FDG-PET/CT radiomics combined with clinical variables in the differential diagnosis of malignant and benign vertebral compression fractures

EJNMMI Research, 2023
Background Vertebral compression fractures (VCFs) are common clinical problems that arise from various reasons. The differential diagnosis of benign and malignant VCFs is challenging.
Xun Wang, Dandan Zhou, Yu Kong, Nan Cheng, Ming Gao, Guqing Zhang, Junli Ma, Yueqin Chen, Shuang Ge   +8 more
doaj   +1 more source

Prediction of pre-eclampsia by using radiomics nomogram from gestational hypertension patients

Frontiers in Neuroscience, 2022
BackgroundPre-eclampsia (PE) is the main cause of death in maternal and prenatal morbidity. No effective clinical tools could be used for the prediction of PE.
Xue-Fei Liu, Jing-Jing Lu, Meng-Die Li, Ying Li, An-Rong Zeng, Jin-Wei Qiang   +5 more
doaj   +1 more source

Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring

Diagnostics, 2023
Multiple myeloma (MM) is one of the most common hematological malignancies affecting the bone marrow. Radiomics analysis has been employed in the literature in an attempt to evaluate the bone marrow of MM patients. This manuscript aimed to systematically review radiomics research on MM while employing a radiomics quality score (RQS) to accurately ...
Michail Klontzas, Matthaios Triantafyllou, Dimitrios Leventis, Emmanouil Koltsakis, Georgios Kalarakis, Antonios Tzortzakakis, Apostolos Karantanas   +6 more
openaire   +3 more sources