A critique of pure learning and what artificial neural networks can learn from animal brains
Anthony M. Zador · Nature Communications · 2019 · Review
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Artificial Intelligence
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Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging
Lan Li, Yishu Chen, Zhe Shen et al. · Gastric Cancer · 2019
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Artificial Intelligence in Lung Cancer Pathology Image Analysis
Shidan Wang, Donghan M. Yang, Ruichen Rong et al. · Cancers · 2019 · Review
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Structured crowdsourcing enables convolutional segmentation of histology images
Mohamed Amgad, Habiba Elfandy, Hagar Hussein et al. · Bioinformatics · 2019
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Estimating the success of re-identifications in incomplete datasets using generative models
Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye · Nature Communications · 2019
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State-of-the-art in artificial neural network applications: A survey
Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara et al. · Heliyon · 2018 · Review
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Machine Learning Methods for Histopathological Image Analysis
Daisuke Komura, Shumpei Ishikawa · Computational and Structural Biotechnology Journal · 2018 · Review
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Deep forest
Zhi-Hua Zhou, Ji Feng · National Science Review · 2018
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Predictive representations can link model-based reinforcement learning to model-free mechanisms
Evan M. Russek, Ida Momennejad, Matthew M. Botvinick et al. · PLOS Computational Biology · 2017
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An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity
James C. R. Whittington, Rafal Bogacz · Neural Computation · 2017
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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
Jianning Chi, Ekta Walia, Paul Babyn et al. · Journal of Digital Imaging · 2017
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Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Yan Xu, Zhipeng Jia, Liang-Bo Wang et al. · BMC Bioinformatics · 2017
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Neuromorphic photonic networks using silicon photonic weight banks
Alexander N. Tait, Thomas Ferreira de Lima, Ellen Zhou et al. · Scientific Reports · 2017
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Systems pathology by multiplexed immunohistochemistry and whole-slide digital image analysis
Sami Blom, Lassi Paavolainen, Dmitrii Bychkov et al. · Scientific Reports · 2017
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Classification of breast cancer histology images using Convolutional Neural Networks
Teresa Araújo, Guilherme Aresta, Eduardo Castro et al. · PLOS ONE · 2017
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Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration
Edison Ong, Zuoshuang Xiang, Bin Zhao et al. · Nucleic Acids Research · 2016
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Deep biomarkers of human aging: Application of deep neural networks to biomarker development
Evgeny Putin, Polina Mamoshina, Alexander Aliper et al. · Aging · 2016
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Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Andreas Holzinger · Brain Informatics · 2016
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Random synaptic feedback weights support error backpropagation for deep learning
Timothy P. Lillicrap, Daniel Cownden, Douglas B. Tweed et al. · Nature Communications · 2016
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Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning
Jinhua Wang, Xi Yang, Hongmin Cai et al. · Scientific Reports · 2016
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