Results 51 to 60 of about 6,181 (108)

Development of a deep neural network model for simultaneous analysis of extracellular analyte gradients for a population of cells. [PDF]

Artif Intell Life Sci
Acosta-Ramirez I, Sadak F, Choudhury SD, Thomson J, Perez-Rosero S, Plange PNA, Morales-Mendivelso SE, Iverson NM.   +7 more
europepmc   +1 more source

Observation of Laryngeal Postures via High-Speed Videoendoscopy in Adductor Laryngeal Dystonia. [PDF]

Ann Otol Rhinol Laryngol
Marks KL, Vojtech J, Díaz Cádiz ME, Toles LE, Feaster TF, Wrede A, Baranwal M, Haubrich A, Ito M, Li S, Little B, Lonergan S, Phan F, Siracusano G, Estrada A, Rojas JM, Buckley DP, Sauder CL, Keltz A, Lerner M, Mallur P, Grillone G, Noordzij P, Tracy LF, Mau T, Stepp CE.   +25 more
europepmc   +1 more source

ShapeField-lung: continuous shape embedding for early lung cancer detection via pulmonary nodule segmentation. [PDF]

NPJ Digit Med
Gu X, Zhu Y, Li C, Xu X, Jin K, Xu L.
europepmc   +1 more source

A weakly supervised framework for automated biological assay assessment. [PDF]

Virus Res
Jiang H, Guo Q, Zhi X, Li H, Chen Y.
europepmc   +1 more source

SDC-YOLOv8: An Improved Algorithm for Road Defect Detection Through Attention-Enhanced Feature Learning and Adaptive Feature Reconstruction. [PDF]

Sensors (Basel)
Yang H, Song Y, Liang Y, Tang E, Cao D.
europepmc   +1 more source

A precision grading method for walnut leaf brown spot disease integrating hierarchical feature selection and dynamic multi-scale convolution. [PDF]

Front Plant Sci
Wei Y, Zeng D, Zheng L.
europepmc   +1 more source

Ultrastructural and Immunohistochemical Alterations in Muscle and Vascular Tissues in Patients with Omphalocele. [PDF]

Int J Mol Sci
Namat DR, Rosca AR, Hînganu D, Lozneanu L, Lupu FC, Hanganu E, Tarca E, Bernic J, Namat NA, Al Namat R, Hînganu MV.   +10 more
europepmc   +1 more source

Personalized Smart Home Automation Using Machine Learning: Predicting User Activities. [PDF]

Sensors (Basel)
Gad MM, Gad W, Abdelkader T, Naik K.
europepmc   +1 more source

Dual U-Net with multi-task attention for automated eyelid curvature quantification. [PDF]

Front Med (Lausanne)
Wu J, Yang Y, Wan C, Yang M, Yang W, Chi W.   +5 more
europepmc   +1 more source