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Computer Science
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Chapter
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Chapter and Conference Paper
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been widely studied in recent years...
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Chapter and Conference Paper
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks
Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically require large amounts of annotated data to achieve high accur...
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Chapter and Conference Paper
Method to Monitor Cough by Employing Piezoelectric Energy Harvesting Configurations
Cough is the most common symptom prompting individuals to seek medical advice. However, the widespread adoption of autonomous cough monitoring using wearable devices remains limited. This paper introduces a wi...
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Chapter and Conference Paper
Experimental Study of In-Body Devices Misalignment Impact on Light-Based In-Body Communications
Optical wireless communication (OWC) has emerged as a promising technology for implantable medical devices because it provides private and secure wireless links for patients, low-power consumption, and high-sp...
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Chapter and Conference Paper
The Role of Digital Care Pathway for Epilepsy on Patients’ Treatment Burden: Clinicians’ Perspective
Epilepsy is a chronic neurological disorder, requiring long-term treatment. The workload and impact of treatment causes a significant burden to patients. Digital care pathways may have potential for reducing t...
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Chapter
Hyper-parameter Tuning
Hyper-parameters can be loosely defined as those parameters that are not changed during the training process. For example, number of layers in a FFNN, number of neurons in each layer, activation functions, lea...
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Chapter
Timing is Everything: Temporal Processing and MultiSensory Integration
This chapter discusses the differences in autism related to temporal processing. Temporal processing is the ongoing processing of information from the initial input of sensory information through the cognitive...
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Chapter and Conference Paper
Digital Services in the Welfare, Social and Health Sector Organizations of the South Ostrobothnia Region
Digital services in healthcare and social services have increased due to national promotion and Covid19 pandemic. However, the regional differences may exist. Successful implementation and sustainability of di...
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Chapter and Conference Paper
The Viewpoint of Informal Carers of People with Multiple Sclerosis in Digital Health Research: A Sco** Review
Multiple sclerosis (MS) is a common neurological disease that can impact not only individuals diagnosed with the condition but also their informal carers, i.e. family members and friends. This sco** review a...
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Chapter and Conference Paper
DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis
Mounting evidence has highlighted the involvement of altered functional connectivity (FC) within resting-state functional networks in psychiatric disorder. Considering the fact that the FCs of the brain can be...
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Chapter and Conference Paper
Decentralized Pub/Sub Architecture for Real-Time Remote Patient Monitoring: A Feasibility Study
The confluence of the Internet of Things (IoT) within the healthcare sector, called Internet of Medical Things (IoMT), has ushered in a transformative approach to real-time patient monitoring. Traditional meth...
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Chapter and Conference Paper
MoViT: Memorizing Vision Transformers for Medical Image Analysis
The synergy of long-range dependencies from transformers and local representations of image content from convolutional neural networks (CNNs) has led to advanced architectures and increased performance for var...
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Chapter and Conference Paper
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
We propose Boundary-RL, a novel weakly supervised segmentation method that utilises only patch-level labels for training. We envision segmentation as a boundary detection problem, rather than a pixel-level cla...
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Chapter and Conference Paper
RelationalUNet for Image Segmentation
Medical image segmentation is one of the most classic applications of machine learning in healthcare. A variety of Deep Learning approaches, mostly based on Convolutional Neural Networks (CNNs), have been prop...
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Chapter and Conference Paper
Detection of Intestinal Tumors Outside the Visibility of Capsule Endoscopy Camera Utilizing Radio Signal Recognition
Early cancer detection is crucial, especially for intestinal cancer with subtle early symptoms. While camera-based Wireless Capsule Endoscopy (WCE) systems are efficient, patient-friendly, and safe investigati...
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Chapter and Conference Paper
Preliminary Studies on mm-Wave Radar for Vital Sign Monitoring of Driver in Vehicular Environment
The last decade has witnessed significant improvements in vehicular technology, especially in providing a safer and more enjoyable environment for drivers and passengers. Fully autonomous vehicles are no longe...
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Chapter and Conference Paper
Effectiveness of Robot-Assisted Lower Limb Rehabilitation on Balance in People with Stroke: A Systematic Review, Meta-analysis, and Meta-regression
The objective of this study was to evaluate the effectiveness of robot-assisted lower-limb rehabilitation on balance in stroke patients and to explore the covariates associated with these effects.
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Chapter and Conference Paper
Factors Affecting Marginalized Older Peoples’ Digital Exclusion Evaluated by Gerontological Social Work Professionals
Digitalization is one of today’s megatrends, and the increased development and use of various digital services emphasize the importance of sufficient guidance, support, and digital skills. The purpose of this ...
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Chapter and Conference Paper
Towards Unified Modality Understanding for Alzheimer’s Disease Diagnosis Using Incomplete Multi-modality Data
Multi-modal neuroimaging data, e.g., magnetic resonance imaging (MRI) and positron emission tomography (PET), has greatly advanced computer-aided diagnosis of Alzheimer’s disease (AD) and its prodromal stage, ...
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Chapter and Conference Paper
Dynamics in Entry and Exit Registrations in a 14-Year Follow-Up of Nationwide Electronic Prescription and Patient Data Repository Services in Finland
There exist a need to carry out further research in order to describe implementation and adoption of nationwide healthcare information systems. This research aimed to follow-up in a 14-year period (2010–2023) ...
