Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Shahryar Rahnamayan"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The exponential growth of data across various medical domains has generated a substantial demand for techniques to analyze multimodal big data. This demand is particularly pronounced in fields such as computational pathology due to the diver
Externí odkaz:
https://doaj.org/article/1f860cbf8faa4bf58d2acdf7ad50d21d
Autor:
Taher Dehkharghanian, Azam Asilian Bidgoli, Abtin Riasatian, Pooria Mazaheri, Clinton J. V. Campbell, Liron Pantanowitz, H. R. Tizhoosh, Shahryar Rahnamayan
Publikováno v:
Diagnostic Pathology, Vol 18, Iss 1, Pp 1-12 (2023)
Abstract Background Deep learning models applied to healthcare applications including digital pathology have been increasing their scope and importance in recent years. Many of these models have been trained on The Cancer Genome Atlas (TCGA) atlas of
Externí odkaz:
https://doaj.org/article/fe9d88279a934d69a5923043a2a8caeb
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Out-of-distribution (OOD) generalization, especially for medical setups, is a key challenge in modern machine learning which has only recently received much attention. We investigate how different convolutional pre-trained models perform on
Externí odkaz:
https://doaj.org/article/652cb5512f49499aa82e2bf7fb67c4bd
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Appearing traces of bias in deep networks is a serious reliability issue which can play a significant role in ethics and generalization related concerns. Recent studies report that the deep features extracted from the histopathology images o
Externí odkaz:
https://doaj.org/article/641fdb44e3924bfeb23021a8d5ddb199
Publikováno v:
Machine Learning with Applications, Vol 7, Iss , Pp 100225- (2022)
In Alzheimer’s diagnosis field, Computer-Aided Diagnosis (CADx) technology can improve the work performance of medical researchers and practitioners since it gives early chances to patient’s eligibility for clinical trials. The aim of this study
Externí odkaz:
https://doaj.org/article/8e86eca9825e4628b70021c90b691c88
Publikováno v:
IEEE Access, Vol 8, Pp 112393-112406 (2020)
Alzheimer's disease (AD) ranks among the main types of neurodegenerative disorders. Patients suffering AD should tackle serious problems since their language skills malfunction. The impact of such disorders is reflected by reduced quality and feature
Externí odkaz:
https://doaj.org/article/17e0d2cf40784727bbe55c0bdf25265b
An evolutionary decomposition-based multi-objective feature selection for multi-label classification
Publikováno v:
PeerJ Computer Science, Vol 6, p e261 (2020)
Data classification is a fundamental task in data mining. Within this field, the classification of multi-labeled data has been seriously considered in recent years. In such problems, each data entity can simultaneously belong to several categories. M
Externí odkaz:
https://doaj.org/article/e9624a3c27fb4d87bbebca08e764a9ef
Publikováno v:
Mathematics, Vol 8, Iss 6, p 956 (2020)
The ranking of multi-metric scientific achievements is a challenging task. For example, the scientific ranking of researchers utilizes two major types of indicators; namely, number of publications and citations. In fact, they focus on how to select p
Externí odkaz:
https://doaj.org/article/9156b48e4ca944ea9de99e75bdd4ab06
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Differential evolution (DE) is a population-based stochastic search algorithm which has shown a good performance in solving many benchmarks and real-world optimization problems. Individuals in the standard DE, and most of its modifications, exhibit t
Externí odkaz:
https://doaj.org/article/698e9c8377bf426d9fd35551e6d4e79f
Publikováno v:
Journal of Manufacturing Systems. 64:636-647
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::626e205e82974205454da621cd7f7b66
https://doi.org/10.1016/j.jmsy.2022.04.013
https://doi.org/10.1016/j.jmsy.2022.04.013