Results 21 to 30 of about 3,427,955 (269)
Exploring Misclassification Information for Fine-Grained Image Classification
Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
doaj +1 more source
Sparse self-attention aggregation networks for neural sequence slice interpolation
Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and ...
Christian Marzahl +9 more
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AUCReshaping: improved sensitivity at high-specificity
The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of ...
Sheethal Bhat +9 more
doaj +1 more source
Pattern Guards and Transformational Patterns
AbstractWe propose three extensions to patterns and pattern matching in Haskell. The first, pattern guards, allows the guards of a guarded equation to match patterns and bind variables, as well as to test boolean condition. For this we introduce a natural generalisation of guard expressions to guard qualifiers.A frequently-occurring special case is ...
Martin Erwig, Simon L. Peyton Jones
openaire +1 more source
Clinical studies and basic science experiments have widely demonstrated the antidepressant and anxiolytic effects of the herbal formula Xiao-Yao-San (XYS). However, the system mechanism of these effects has not been fully characterized. The present study
Naijun Yuan +8 more
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ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
We study the design and optimization of polyhedral patterns, which are patterns of planar polygonal faces on freeform surfaces. Working with polyhedral patterns is desirable in architectural geometry and industrial design. However, the classical tiling patterns on the plane must take on various shapes in order to faithfully and feasibly approximate ...
Caigui Jiang +4 more
openaire +5 more sources
13 pages, 13 ...
Heimo Müller, Andreas Holzinger
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Adaptive example selection for prototype based explainable mitosis detection in digital pathology
Understanding the decision-making process of black-box neural networks is crucial for safe use of AI in high-stakes medical tasks such as histopathology.
Mita Banik +4 more
doaj +1 more source

