Erratum: Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential [0.03%]
GANs在数字病理学中的应用：现状与未来潜力综述（勘误）
Maximilian E Tschuchnig,Gertie J Oostingh,Michael Gadermayr
Maximilian E Tschuchnig
[This corrects the article DOI: 10.1016/j.patter.2020.100089.]. © 2020 The Authors.
Published Erratum
Patterns (New York, N.Y.). 2020 Nov 13;1(8):100144. DOI:10.1016/j.patter.2020.100144 2020
Using Variational Multi-view Learning for Classification of Grocery Items [0.03%]
基于变分多视角学习的杂货商品分类方法研究
Marcus Klasson,Cheng Zhang,Hedvig Kjellström
Marcus Klasson
An essential task for computer vision-based assistive technologies is to help visually impaired people to recognize objects in constrained environments, for instance, recognizing food items in grocery stores. In this paper, we introduce a n...
Laura Koesten,Pavlos Vougiouklis,Elena Simperl et al.
Laura Koesten et al.
The web provides access to millions of datasets that can have additional impact when used beyond their original context. We have little empirical insight into what makes a dataset more reusable than others and which of the existing guidelin...
Complex Network Representation of the Structure-Mechanical Property Relationships in Elastomers with Heterogeneous Connectivity [0.03%]
具有异质连接的弹性体中结构-力学性能关系的复杂网络表征
Yoshifumi Amamoto,Ken Kojio,Atsushi Takahara et al.
Yoshifumi Amamoto et al.
The complicated structure-property relationships of materials have recently been described using a methodology of data science that is recognized as the fourth paradigm in materials science. In network polymers or elastomers, the manner of ...
Sahar Farajnia,Sarah Callaghan
Sahar Farajnia
Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability [0.03%]
可解释性和泛化能力的模型验证方法研究
Sung Yang Ho,Kimberly Phua,Limsoon Wong et al.
Sung Yang Ho et al.
We discuss the validation of machine learning models, which is standard practice in determining model efficacy and generalizability. We argue that internal validation approaches, such as cross-validation and bootstrap, cannot guarantee the ...
Wenxiang Cong,Yan Xi,Paul Fitzgerald et al.
Wenxiang Cong et al.
Conventional single-spectrum computed tomography (CT) reconstructs a spectrally integrated attenuation image and reveals tissues morphology without any information about the elemental composition of the tissues. Dual-energy CT (DECT) acquir...
Msuite: A High-Performance and Versatile DNA Methylation Data-Analysis Toolkit [0.03%]
MSuite：一种高性能且通用的DNA甲基化数据分析工具包
Kun Sun,Lishi Li,Li Ma et al.
Kun Sun et al.
DNA methylation is a pervasive and important epigenetic regulator in mammalian genome. For DNA methylome profiling, emerging bisulfite-free methods have demonstrated desirable superiority over the conventional bisulfite-treatment-based appr...
Model-Driven Decision Making in Multiple Sclerosis Research: Existing Works and Latest Trends [0.03%]
多发性硬化症研究中的模型驱动决策：现有工作和最新趋势
Rayan Alshamrani,Ashrf Althbiti,Yara Alshamrani et al.
Rayan Alshamrani et al.
Multiple sclerosis (MS) is a neurological disorder that strikes the central nervous system. Due to the complexity of this disease, healthcare sectors are increasingly in need of shared clinical decision-making tools to provide practitioners...
Pancreatlas: Applying an Adaptable Framework to Map the Human Pancreas in Health and Disease [0.03%]
胰腺图谱：应用一个可适性框架来绘制健康和疾病的胰腺地图
Diane C Saunders,James Messmer,Irina Kusmartseva et al.
Diane C Saunders et al.
Human tissue phenotyping generates complex spatial information from numerous imaging modalities, yet images typically become static figures for publication, and original data and metadata are rarely available. While comprehensive image maps...