Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zahra Golrizkhatami"'
Publikováno v:
IEEE Access, Vol 12, Pp 50431-50443 (2024)
There are millions of cancer cases worldwide every year, and breast cancer is one of the most prevalent diseases with the highest mortality rate. The manual effort of pathologists can be significantly reduced by computerized diagnostic systems, which
Externí odkaz:
https://doaj.org/article/5fbcd5f7784f49d9926314c257ae0eb3
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 7-8, Pp 613-628 (2018)
A new architecture of deep neural networks, directed acyclic graph convolutional neural networks (DAG-CNNs), is used to classify heartbeats from electrocardiogram (ECG) signals into different subject-based classes. DAG-CNNs not only fuse the feature
Externí odkaz:
https://doaj.org/article/10836742ed31494bb6b39d00db2a7e35
Autor:
Adnan Acan, Zahra Golrizkhatami
Publikováno v:
Expert Systems with Applications. 114:54-64
Fusion of feature descriptors extracted from a signal through different methods is an important issue for the exploitation of representational power of each descriptor. In this research work, a novel system which exploits multi-stage features from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbb94a4c2b6812c419b87c27bdfafbb2
https://doi.org/10.1016/j.eswa.2018.07.030
https://doi.org/10.1016/j.eswa.2018.07.030
Publikováno v:
Applied Artificial Intelligence. 32:613-628
A new architecture of deep neural networks, directed acyclic graph convolutional neural networks (DAG-CNNs), is used to classify heartbeats from electrocardiogram (ECG) signals into different subje...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a6745c2c8db35a9d8b344c30808d43
https://doi.org/10.1080/08839514.2018.1501910
https://doi.org/10.1080/08839514.2018.1501910