Siamese neural networks: An overview
D Chicco - Artificial neural networks, 2021 - Springer
Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …
element vectors are compared, many different similarity approaches can be used …
[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
Part-aware prototype network for few-shot semantic segmentation
Few-shot semantic segmentation aims to learn to segment new object classes with only a
few annotated examples, which has a wide range of real-world applications. Most existing …
few annotated examples, which has a wide range of real-world applications. Most existing …
[HTML][HTML] Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function
Alzheimer's disease (AD) is a neurodegenerative disease that causes irreversible damage
to several brain regions, including the hippocampus causing impairment in cognition …
to several brain regions, including the hippocampus causing impairment in cognition …
Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images
Background CT findings of lung cancer and tuberculosis are sometimes similar, potentially
leading to misdiagnosis. This study aims to combine deep learning and content-based …
leading to misdiagnosis. This study aims to combine deep learning and content-based …
Small sample learning in big data era
As a promising area in artificial intelligence, a new learning paradigm, called Small Sample
Learning (SSL), has been attracting prominent research attention in the recent years. In this …
Learning (SSL), has been attracting prominent research attention in the recent years. In this …
Multi-modal siamese network for diagnostically similar lesion retrieval in prostate MRI
Multi-parametric prostate MRI (mpMRI) is a powerful tool to diagnose prostate cancer,
though difficult to interpret even for experienced radiologists. A common radiological …
though difficult to interpret even for experienced radiologists. A common radiological …
[HTML][HTML] OtoMatch: Content-based eardrum image retrieval using deep learning
Acute infections of the middle ear are the most commonly treated childhood diseases.
Because complications affect children's language learning and cognitive processes, it is …
Because complications affect children's language learning and cognitive processes, it is …
[HTML][HTML] A twin convolutional neural network with hybrid binary optimizer for multimodal breast cancer digital image classification
ON Oyelade, EA Irunokhai, H Wang - Scientific Reports, 2024 - nature.com
There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …
with significant classification accuracy performance observed. However, real-world …
[HTML][HTML] Neural ranking models for document retrieval
Ranking models are the main components of information retrieval systems. Several
approaches to ranking are based on traditional machine learning algorithms using a set of …
approaches to ranking are based on traditional machine learning algorithms using a set of …