Results 21 to 30 of about 3,427,955 (269)

Exploring Misclassification Information for Fine-Grained Image Classification

open access: yesSensors, 2021
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

open access: yesBioData Mining, 2021
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
doaj   +1 more source

EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control

open access: yesScientific Reports, 2021
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
doaj   +1 more source

AUCReshaping: improved sensitivity at high-specificity

open access: yesScientific Reports, 2023
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

open access: yesElectronic Notes in Theoretical Computer Science, 2001
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

An Integrated Pharmacology-Based Analysis for Antidepressant Mechanism of Chinese Herbal Formula Xiao-Yao-San

open access: yesFrontiers in Pharmacology, 2020
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
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
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

Polyhedral patterns [PDF]

open access: yesACM Transactions on Graphics, 2015
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

Kandinsky Patterns

open access: yesArtificial Intelligence, 2021
13 pages, 13 ...
Heimo Müller, Andreas Holzinger
openaire   +3 more sources

Adaptive example selection for prototype based explainable mitosis detection in digital pathology

open access: yesScientific Reports
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

Home - About - Disclaimer - Privacy