Results 211 to 220 of about 7,006,651 (299)

Opportunistic screening of type 2 diabetes with deep metric learning using electronic health records. [PDF]

Sci Rep
Jin Q, Zhang H, Szczerbinski L, Zhu J, Gerych W, Xu X, Wang K, Hsu S, Mandla R, Deutsch AJ, Manning A, Mercader JM, Hartvigsen T, Udler MS, Ghassemi M.   +14 more
europepmc   +1 more source

Leaf disease image retrieval with object detection and deep metric learning. [PDF]

Front Plant Sci, 2022
Peng Y, Wang Y.
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

A Deep Metric Learning and Multimodal Gated Fusion Framework for AI-Driven Risk Assessment of Lingual Plate Perforation and Mandibular Canal Injury in Posterior Mandible Implants. [PDF]

Int J Dent
Al-Taezi KA, Liu L, Al-Badwi A, Al-Taezi MA, Dong S, Al-Habib M, Tang C.   +6 more
europepmc   +1 more source

A Boosting-Based Deep Distance Metric Learning Method. [PDF]

Comput Intell Neurosci, 2022
Li Z.
europepmc   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

A Metric Learning-Based Improved Oriented R-CNN for Wildfire Detection in Power Transmission Corridors. [PDF]

Sensors (Basel)
Wang X, Wang B, Luo P, Wang L, Wu Y.
europepmc   +1 more source

Deep Metric Learning-Based Strawberry Disease Detection With Unknowns. [PDF]

Front Plant Sci, 2022
You J, Jiang K, Lee J.
europepmc   +1 more source

Facial Cosmetic Therapy Use Among Patients With Systemic Sclerosis: An Australian Cohort Study

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is associated with numerous facial manifestations for which patients may engage in cosmetic therapies. It is unclear how patients with SSc use these therapies. This study sought to characterize patient engagement and experiences with cosmetic therapies for SSc‐related and non‐SSc–related facial changes.
Zachary Warren, Diane Apostolopoulos, Gene‐Siew Ngian, Amanda M. Saracino, Laura Ross, Nava Ferdowsi, Jennifer Walker, Cindy Hall, Kim Griggs, Susanna Proudman, Wendy Stevens, Joanne Sahhar   +11 more
wiley   +1 more source

High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning. [PDF]

Nat Commun
Wang L, Yu X, Zhang T, Hou Y, Lei D, Qi X, Chu Z.   +6 more
europepmc   +1 more source