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ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans
Volumetric quantification of tumors is usually done manually by radiologists requiring precious medical time and suffering from inter-observer...
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ASE-UNet: An Orange Fruit Segmentation Model in an Agricultural Environment Based on Deep Learning
AbstractFruit picking robot requires a powerful vision system that can accurately identify the fruit on the tree. Accurate segmentation of orange...
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A novel multi-task semi-supervised medical image segmentation method based on multi-branch cross pseudo supervision
Medical image segmentation is a crucial task in many clinical applications, such as tumor detection and surgical planning. However, the annotation...
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INTELLIGENT MUSICAL INSTRUMENT SOUND CLASSIFICATION
This chapter is devoted to intelligent classification of the sound of musical instruments. Although it is possible, and in some applications...
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Learning age semantic factor to enhance group-based representations for cross-age face recognition
A reliable and robust technology for cross-age face recognition remains a great challenge. Current existing methods addressing cross-age face...
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UPCoL: Uncertainty-Informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Semi-supervised learning (SSL) has emerged as a promising approach for medical image segmentation, while its capacity has still been limited by the...
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Double-Stream Network for Clothes-Changing Person Re-identification Based on Clothes Related Feature Suppression and Attention Mechanism
The standard person re-identification task has a basic assumption that pedestrians will not change their clothes. However, in a more realistic and...
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COGNITIVE APPROACH TO MUSICAL DATA ANALYSIS
Digital signal processing is one of the most rapidly develo** areas of science. With the explosive expansion of the Internet, the number of very...
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Multi-carrier Tb/s silicon photonic coherent receiver
We propose a silicon polarization-diversity coherent receiver for wavelength-multiplexing transmission without using the large-footprint arrayed...
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Downlink Analysis
This chapter summarizes the downlink model and methodology to computing the coverage probability (SINRccdf), which are amongst the most tractable and...
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Design and Modeling of Intelligent Building Office and Thermal Comfort Based on Probabilistic Neural Network
Thermal comfort is strictly related to the efficient use of the environmental and energy resources to maintain or improve the quality life and...
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New ranking model with evidence theory under probabilistic hesitant fuzzy context and unknown weights
This paper proposes a novel ranking model under probabilistic hesitant fuzzy set (PHFS) by extending the idea of evidence theory (ET). PHFS is a...
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Implement Azure Functions
Do you want to write code for a microservices solution without having to utilize containers? Are you looking for a quick and easy API solution that...
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ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation
Automatic tissue segmentation of fetal brain images is essential for the quantitative analysis of prenatal neurodevelopment. However, producing...
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Migrating Your Data
We have just walked through several different ways to get your application running in the cloud, from running your application on virtual machines to...
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Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer’s Disease Diagnosis
Deep learning techniques have found extensive applications in utilizing magnetic resonance imaging (MRI) to support the diagnosis of Alzheimer’s...
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Authentication Schemes for Healthcare Data Using Emerging Computing Technologies
People these days need a stronger, more efficient healthcare system, one that is more individualized and responsive to the demands of modern living....
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Quanten-Zufallszahlengenerierung
Die Unvorhersehbarkeit von Zufallszahlen findet in verschiedenen Bereichen Anwendung, z. B. bei Lotterien, wissenschaftlichen Simulationen und...
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Motion-Aware Topology Learning for Skeleton-Based Action Recognition
Graph convolutional networks have achieved great success in skeleton-based action recognition area, in which topology learning is the key component...
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Comparing Cost and Performance of Microservices and Serverless in AWS: EC2 vs Lambda
Serverless functions introduce a new way of running cloud-native systems suggesting a reduction in operational costs and delegating scalability to...