Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mojtaba Kolahdoozi"'
Autor:
Samira Abbasgholizadeh Rahimi, Mojtaba Kolahdoozi, Arka Mitra, Jose L. Salmeron, Amir Mohammad Navali, Alireza Sadeghpour, Seyed Amir Mir Mohammadi
Publikováno v:
Mathematics, Vol 10, Iss 3, p 496 (2022)
Rheumatoid arthritis (RA) is a chronic inflammatory and long-term autoimmune disease that can lead to joint and bone erosion. This can lead to patients’ disability if not treated in a timely manner. Early detection of RA in settings such as primary
Externí odkaz:
https://doaj.org/article/c15c9e56ab8a48ea807ba5b0f198eb1e
Publikováno v:
Applied Intelligence. 49:3652-3667
Fuzzy cognitive maps (FCMs) represent a graphical modeling technique based on the decision-making and reasoning rules and algorithms similar to those used by humans. The graph-like structure and the execution model of FCMs respectively allow static a
Publikováno v:
2019 26th National and 4th International Iranian Conference on Biomedical Engineering (ICBME).
Acute lymphoblastic leukemia is one of the most common hematologic malignancies among children, caused by uncontrolled growth of leukocytes. Since the main hallmarks of the disease is not specific, a considerable number of patients have been being mi
Publikováno v:
2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME).
Autoimmune hepatitis (AIH) is an inflammatory liver disease with an undiscovered cause that is attributed to the promiscuous humoral as well as cellular immune response against homologous self-antigens. If AIH is not diagnosed and treated in its earl
Publikováno v:
Advanced Data Analytics in Health ISBN: 9783319779102
Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying mammography images. The mai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::365b08ff9cac525c6ab56ee6708a8583
https://doi.org/10.1007/978-3-319-77911-9_6
https://doi.org/10.1007/978-3-319-77911-9_6
Publikováno v:
2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME).
Mammography is one the efficient ways to diagnose breast cancer in its early stages. In this paper we have proposed a novel approach based on fuzzy cognitive maps (FCMs) in order to classify breast tumors in one of the malignant or benign types. Firs
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-1
While protein-DNA interactions are crucial for a wide range of cellular functions, only a small fraction of these interactions was annotated to date. One solution to close this annotation gap is to employ computational methods that accurately predict