A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.03.024
Abstract: Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spine. In this study, we investigate the feasibility of automated spinal metastasis detection in magnetic resonance imaging (MRI) by… read more here.
Keywords: spinal metastasis; metastasis detection; metastasis; siamese neural ... See more keywords
Using Deep Siamese Neural Networks for Detection of Brain Asymmetries Associated with Alzheimer's Disease and Mild Cognitive Impairment.
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2019.07.003
Abstract: In recent studies, neuroanatomical volume and shape asymmetries have been seen during the course of Alzheimer's Disease (AD) and could potentially be used as preclinical imaging biomarkers for the prediction of Mild Cognitive Impairment (MCI)… read more here.
Keywords: neural networks; alzheimer disease; cognitive impairment; siamese neural ... See more keywords
A Siamese neural network framework for glass transition recognition.
Sign Up to like & getrecommendations! Published in 2024 at "Soft matter"
DOI: 10.1039/d3sm01593a
Abstract: A Siamese neural network, which is a deep learning technique, was applied to investigate phase transitions based on polarising microscopic textures of liquid crystals like: antiferroelectric smectic CA* phase and its glass, smectic I phase… read more here.
Keywords: glass transition; neural network; siamese neural;
A Siamese neural network for learning the similarity metrics of linear features
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2143505
Abstract: Abstract Measuring similarity is essential for classifying, clustering, retrieving, and matching linear features in geospatial data. However, the complexity of linear features challenges the formalization of characteristics and determination of the weight of each characteristic… read more here.
Keywords: neural network; linear features; similarity; siamese neural ... See more keywords
Siamese neural networks can identify subjects from anonymised ECGs
Sign Up to like & getrecommendations! Published in 2024 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehae666.3460
Abstract: Many research databases contain anonymised electrocardiograms (ECGs) linked to other sensitive information. ECGs hold features unique to individuals, potentially enabling subject identification from anonymised ECGs. We assessed if artificial intelligence approaches to output ECG pair… read more here.
Keywords: siamese neural; success; model; anonymised ecgs ... See more keywords
Effective Diabetic Retinopathy Classification With Siamese Neural Network: A Strategy for Small Dataset Challenges
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3510556
Abstract: Early detection of diabetic retinopathy, a complication of vision loss in advanced stages of diabetes, is essential to avoid permanent vision impairment. However, the automatic detection of diabetic retinopathy through medical image processing requires a… read more here.
Keywords: retinopathy; classification; siamese neural; small dataset ... See more keywords
Continual Learning With Siamese Neural Networks for Sustainable Network Management
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2024.3368928
Abstract: With emerging Machine Learning (ML) techniques showing great potential in prediction performance, there is an inclination towards ML for network management. Although modern mobile network deployments have access to essential data storage and computational resources,… read more here.
Keywords: continual learning; siamese neural; network management; network ... See more keywords
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism
Sign Up to like & getrecommendations! Published in 2023 at "International journal of neural systems"
DOI: 10.1142/s0129065723500193
Abstract: The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing structural and functional… read more here.
Keywords: neural networks; multimodal patterns; siamese neural; enhancing multimodal ... See more keywords
A Source Code Similarity Based on Siamese Neural Network
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10217519
Abstract: Finding similar code snippets is a fundamental task in the field of software engineering. Several approaches have been proposed for this task by using statistical language model which focuses on syntax and structure of codes… read more here.
Keywords: code; similarity; siamese neural; neural network ... See more keywords
AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135545
Abstract: The exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique. In this context, Siamese neural networks are a remarkable tool in pattern identification for… read more here.
Keywords: based siamese; siamese neural; image; identification ... See more keywords
Automated Bone Marrow Cell Classification for Haematological Disease Diagnosis Using Siamese Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics13010112
Abstract: The critical structure and nature of different bone marrow cells which form a base in the diagnosis of haematological ailments requires a high-grade classification which is a very prolonged approach and accounts for human error… read more here.
Keywords: bone marrow; neural network; siamese neural;