Results 231 to 240 of about 617,143 (331)

Enhancing Spinal Metastasis Detection and Feature Evaluation on Computed Tomography Scans Using Deep‐Learning Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A deep‐learning system (DLS) is developed for the automatic detection of spinal metastases and the evaluation of associated features using computed tomography imaging. A multireader, multicase analysis and a prospective multicenter cohort study are conducted to evaluate the diagnostic performance.
Zhiyu Wang   +16 more
wiley   +1 more source

Women elite Italian football players' perceptions on gender equality and dual career opportunities. [PDF]

open access: yesFront Sports Act Living
Guidotti F   +6 more
europepmc   +1 more source

Temporal–Spatial Replication of the Pulse Haptic Sensation Empowered by Multifunctional Piezoelectret

open access: yesAdvanced Intelligent Systems, EarlyView.
Dynamic pressure sensing, static pressure sensing, and haptic vibration are implemented on multifunctional piezoelectret devices with the universal structural design, further combined with the customized pressure device to comprehensively simulate and expand the Traditional Chinese Medicine (TCM) three‐finger palpation.
Liuyang Han   +9 more
wiley   +1 more source

Leveraging Compressed Sensing and Radiomics for Robust Feature Selection for Outcome Prediction in Personalized Ultra‐Fractionated Stereotactic Adaptive Radiotherapy

open access: yesAdvanced Intelligent Systems, EarlyView.
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu   +3 more
wiley   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

open access: yesAdvanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang   +5 more
wiley   +1 more source

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