Computed tomography (CT) is an imaging technique that generates three-dimensional images from two-dimensional projection data. CT is widely applied in disease detection. However, CT images often ...
We retrospectively identified 111 lesions, divided into training and test sets (n = 78 v 33) with equal class distribution. 3D Slicer was used to segment lesions with a short axis of >10 mm from the ...
Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection is usually diagnosed via reverse transcription PCR or RT-PCR, but this method is far from perfect. According to one review, ...
Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk Group We developed a fully automated imaging-based ...
A novel deep learning architecture, the “relational reasoning network,” can learn the spatial relationships between key anatomical landmarks of craniomaxillofacial bones from computed tomography ...
FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...
Gain practical insights to enhance productivity, improve product performance, and maintain a competitive edge in the global ...
Industrial computed tomography for advanced industrial non-destructive evaluation is a complex technological area, encompassing nuclear radiation detectors, mechanical engineering, computational ...
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