Results 151 to 160 of about 3,882,996 (203)

Tracing aesthetic experience from perception and conception to appraisal using deep convolutional neural networks. [PDF]

iScience
Lin Y, Verlinde L, Wagemans J, Op de Beeck H.   +3 more
europepmc   +1 more source

Application of convolutional neural networks for automated segmentation and classification in esophageal diseases. [PDF]

Front Med (Lausanne)
Pu L, Wang X, Yan S, Zhuang S, He X.
europepmc   +1 more source

Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images. [PDF]

Int Wound J
Huttunen E, Kimpimäki T, Salenius JE, Pölönen I, Yambasu T, Huttunen M, Salmi T.   +6 more
europepmc   +1 more source

Artistic style classification in traditional cultural heritage using convolutional neural networks. [PDF]

Sci Rep
Xu B, Lu X.
europepmc   +1 more source

Data-centric strategies enable cross-center generalization of convolutional neural networks for CT brain extraction. [PDF]

Front Neurol
Sun Z, Ye L, Xu Y, Li Y.
europepmc   +1 more source

LIGO Core-Collapse Supernova Detection Using Convolutional Neural Networks. [PDF]

Sensors (Basel)
Pan Z, Zahraoui EM, Maturana-Russel P, Cabrera-Guerrero G.   +3 more
europepmc   +1 more source

Correction: Objective interpretation of intrapartum cardiotocography images using attention-guided convolutional neural networks. [PDF]

Front Pediatr
Zhou X, Qiu T, Lin C, Zhou J, Jiang S, Wang L, Feng L, Wang X, You Q.   +8 more
europepmc   +1 more source

Deep learning convolutional neural networks for morphological identification of field-caught Anopheles stephensi in Ethiopia, using smartphone images of specimens. [PDF]

Malar J
Mehta P, Kumar AS, Zacharias A, Shodhan A, Li D, Patel SM, Rincon Torroella M, Cunningham JM, Lovin D, Chbute BL, Gebremichael DZ, Chellappa R, Yewhalaw D, Carlton JM, Lobo NF, Acharya S.   +15 more
europepmc   +1 more source

SegJointGene: joint cell segmentation and spatial gene prioritization by information entropy guided convolutional neural networks. [PDF]

Bioinformatics
Ma H, Wang D.
europepmc   +1 more source

Automated recognition of Meso-Cenozoic foraminifera from Senegalese sedimentary deposits using convolutional neural networks. [PDF]

PeerJ
Thiam M, Chaabane S, de Garidel-Thoron T.   +2 more
europepmc   +1 more source