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Siamese neural networks: An overview
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 …
How artificial intelligence might disrupt diagnostics in hematology in the near future
Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …
Examples of successful applications or promising approaches range from the application of …
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 …
Varifocal-net: A chromosome classification approach using deep convolutional networks
Chromosome classification is critical for karyoty** in abnormality diagnosis. To expedite
the diagnosis, we present a novel method named Varifocal-Net for simultaneous …
the diagnosis, we present a novel method named Varifocal-Net for simultaneous …
Small sample learning in big data era
KaryoNet: Chromosome recognition with end-to-end combinatorial optimization network
C ** to recognize the most common numerical abnormalities using deep learning
Chromosome analysis is an essential task in a cytogenetics lab, where cytogeneticists can
diagnose whether there are abnormalities or not. Karyoty** is a standard technique in …
diagnose whether there are abnormalities or not. Karyoty** is a standard technique in …
Enhancing multimodal patterns in neuroimaging by siamese neural networks with self-attention mechanism
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 …
aspects in the diagnostic process of several diseases. In the field of neurological disorders …
Statistical karyotype analysis using CNN and geometric optimization
Karyotype analysis is one of the main techniques of cytogenetics through medical image
processing, which has an important role in modern medical treatment and diagnosis. The …
processing, which has an important role in modern medical treatment and diagnosis. The …