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Deep learning

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

Hwejin Jung, Bumsoo Kim, [ ... ], Jaewoo Kang

Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning convolutional neural networks

Víctor Sevillano, José L. Aznarte

Real-time, simultaneous myoelectric control using a convolutional neural network

Ali Ameri, Mohammad Ali Akhaee, Erik Scheme, Kevin Englehart

A Hybrid Geometric Spatial Image Representation for scene classification

Nouman Ali, Bushra Zafar, [ ... ], Muhammad Sajid

Deep neural network based histological scoring of lung fibrosis and inflammation in the mouse model system

Fabian Heinemann, Gerald Birk, Tanja Schoenberger, Birgit Stierstorfer

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

Zachi I. Attia, Alan Sugrue, [ ... ], Peter A. Noseworthy

Biomedical literature classification with a CNNs-based hybrid learning network

Yan Yan, Xu-Cheng Yin, [ ... ], Bo-Wen Zhang

Predicting human protein function with multi-task deep neural networks

Rui Fa, Domenico Cozzetto, Cen Wan, David T. Jones

Image classification by addition of spatial information based on histograms of orthogonal vectors

Bushra Zafar, Rehan Ashraf, [ ... ], Savvas A. Chatzichristofis

Concussion classification via deep learning using whole-brain white matter fiber strains

Yunliang Cai, Shaoju Wu, [ ... ], Songbai Ji

Automated and real-time segmentation of suspicious breast masses using convolutional neural network

Viksit Kumar, Jeremy M. Webb, [ ... ], Azra Alizad

Readmission prediction via deep contextual embedding of clinical concepts

Cao Xiao, Tengfei Ma, [ ... ], Fei Wang

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Jeffrey J. Nirschl, Andrew Janowczyk, [ ... ], Anant Madabhushi

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