Mirjam Jonkman
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View article: Diffusion-based knowledge distillation for effective multi-organ segmentation with reduced computational time
Diffusion-based knowledge distillation for effective multi-organ segmentation with reduced computational time Open
Accurate and efficient multi-organ segmentation is crucial for clinical workflows, requiring high accuracy and reduced computational time. In this research, we propose a 3D diffusion-based knowledge distillation framework (3DKD-DiffuseNet)…
View article: FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms
FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms Open
Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serving as a foundation for medical image analysis. However, existing methods struggle with limited labeled data, poor generalizability, and in…
View article: Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model
Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model Open
Background: The analysis of blood, including red blood cells (RBC) and different types of white blood cells (WBCs) plays a major role in the diagnosis of certain diseases. Automated segmentation of blood cells and their components can assi…
View article: Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques
Advancing skin cancer detection integrating a novel unsupervised classification and enhanced imaging techniques Open
Skin cancer, a severe health threat, can spread rapidly if undetected. Therefore, early detection can lead to an advanced and efficient diagnosis, thus reducing mortality. Unsupervised classification techniques analyse extensive skin image…
View article: A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis
A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis Open
The identification and early treatment of retinal disease can help to prevent loss of vision. Early diagnosis allows a greater range of treatment options and results in better outcomes. Optical coherence tomography (OCT) is a technology us…
View article: ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis
ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis Open
Endometrial cancеr is the fourth fastеst-growing cancеr among women worldwide, affecting the uterus's lining. This research proposes a novel approach called ECgMLP for the automated diagnosis of endometrial cancer by analyzing histopatholo…
View article: Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set
Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set Open
Otitis media (OM) is a common infection or inflammation of the middle ear causing conductive hearing loss that primarily affects children and may delay speech, language, and cognitive development. OM can manifest itself in different forms,…
View article: SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time
SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time Open
The increasing incidence of skin cancer necessitates advancements in early detection methods, where deep learning can be beneficial. This study introduces SkinNet-14, a novel deep learning model designed to classify skin cancer types using…
View article: Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis
Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis Open
The diagnosis of bronchiectasis requires measuring abnormal bronchial dilation. It is confirmed using a chest CT scan, where the key feature is an increased broncho-arterial ratio (BAR) (>0.8 in children), often with bronchial wall thicken…
View article: Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis
Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis Open
Bronchiectasis is a chronic respiratory disorder characterized by the dilation and damage of bronchial walls due to recurrent and prolonged episodes of inflammation and infection. The diagnosis of bronchiectasis requires objective measurem…
View article: Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network
Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network Open
Objective Early diagnosis of breast cancer can lead to effective treatment, possibly increase long-term survival rates, and improve quality of life. The objective of this study is to present an automated analysis and classification system …
View article: Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review
Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review Open
Otitis Media (OM), predominantly affecting children, is a significant global health issue, with an estimated 360 million pediatric cases yearly worldwide. OM causes mild and moderate conductive hearing loss which can be disabling for young…
View article: Methods for Detection and Measurement of Potential Broncho-Arterial Pairs in Chest Computed Tomography Scans of Children
Methods for Detection and Measurement of Potential Broncho-Arterial Pairs in Chest Computed Tomography Scans of Children Open
Bronchiectasis, one of the most neglected chronic lung conditions, has a high individual disease burden and economic cost and causes poor quality of life in children/adolescents and adults. Advances in image quality and a dramatic reductio…
View article: Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features
Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features Open
Purpose An automated computerized approach can aid radiologists in the early diagnosis of breast cancer. In this study, a novel method is proposed for classifying breast tumors into benign and malignant, based on the ultrasound images thro…
View article: Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images
Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images Open
Knee Osteoarthritis (KOA) is a leading cause of disability and physical inactivity. It is a degenerative joint disease that affects the cartilage, cushions the bones, and protects them from rubbing against each other during motion. If not …
View article: A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language
A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language Open
Named Entity Recognition (NER) plays a significant role in enhancing the performance of all types of domain specific applications in Natural Language Processing (NLP). According to the type of application, the goal of NER is to identify ta…
View article: Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach Open
Bronchiectasis in children is a major health issue which can be life-threatening if not diagnosed and effectively treated. In the diagnosis of bronchiectasis, an increased broncho-arterial (BA) ratio is considered a significant marker. The…
View article: Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset
Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset Open
The selection of features for text classification is a fundamental task in text mining and information retrieval. Despite being the sixth most widely spoken language in the world, Bangla has received little attention due to the scarcity of…
View article: An Investigation of the Effectiveness of Deepfake Models and Tools
An Investigation of the Effectiveness of Deepfake Models and Tools Open
With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are both phony and incredibly lifelike. The term deepfake method…
View article: Camera-based interactive wall display using hand gesture recognition
Camera-based interactive wall display using hand gesture recognition Open
the recognition of Hand gestures has become a critical point as it is widely used in everyday applications. the challenge in this is to improve the recognition effect and develop a fast recognition method. Glove and led-based methods invol…
View article: Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise
Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise Open
Hearing loss is a prevalent health issue that affects individuals worldwide. Binaural hearing refers to the ability to integrate information received simultaneously from both ears, allowing individuals to identify, locate, and separate sou…
View article: Binaural masking level difference for pure tone signals
Binaural masking level difference for pure tone signals Open
The binaural masking level difference (BMLD) is a psychoacoustic method to determine binaural interaction and central auditory processes. The BMLD is the difference in hearing thresholds in homophasic and antiphasic conditions. The duratio…
View article: An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study
An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study Open
Bronchiectasis in children can progress to a severe lung condition if not diagnosed and treated early. The radiological diagnostic criteria for the diagnosis of bronchiectasis is an increased broncho-arterial (BA) ratio. From high-resoluti…
View article: Designing a Private and Secure Personal Health Records Access Management System: A Solution Based on IOTA Distributed Ledger Technology
Designing a Private and Secure Personal Health Records Access Management System: A Solution Based on IOTA Distributed Ledger Technology Open
The privacy and security of patients’ health records have been an ongoing issue, and researchers are in a race against technology to design a system that can help stop the compromising of patient data. Many researchers have proposed soluti…