Results 161 to 170 of about 528,348 (385)
In vivo quantitation of regional myocardial blood flow by positron-emission computed tomography. [PDF]
, 1981 Gerald Wisenberg +8 more
openalex +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Test of a BaF2-TMAE detector for positron-emission tomography [PDF]
, 1988 P. Miné +5 more
openalex +1 more source
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Advanced Intelligent Systems, EarlyView.Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu +4 more
wiley +1 more source
I. The Role of Physics in Positron Emission Tomography and Single-Photon Emission Computed Tomography Image Processing [PDF]
, 1987 Edward J. Hoffman, John A. Correia
openalex +1 more source
Advanced Intelligent Systems, EarlyView.The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu +7 more
wiley +1 more source
Positron Emission Tomography and Its Role in Metabolic Imaging [PDF]
, 1989 Michael M. Graham, T.K. Lewellen
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American Journal of Hematology, EarlyView.Extranodal marginal zone lymphoma (EMZL) is essentially an FDG‐avid disease. PET/CT improves the precision in the response assessment compared to contrast‐enhanced CT. ABSTRACT 18Fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) is the standard imaging modality in lymphoma.
Juan Pablo Alderuccio +10 more
wiley +1 more source