An intelligent educational system for breast cancer management

Joint Authors

al-Alfi, Ata Ibrahim Imam
Abd al-Al, Najwa Muhammad
Al-Muji, Fatin Abd al-Sattar Zahran

Source

International Journal of Intelligent Computing and Information Sciences

Issue

Vol. 22, Issue 3 (31 Aug. 2022), pp.39-53, 15 p.

Publisher

Ain Shams University Faculty of Computer and Information Sciences

Publication Date

2022-08-31

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

This paper introduces an intelligent system for breast cancer management for helping new and young healthcare graduates.

the proposed system simulates the real medical diagnosis processes by using artificial intelligence (AI) techniques.

it is based on four parts for breast cancer management.

the first part is based on diagnosing by symptoms of breast cancer.

the second part is based on x-ray images in the diagnosis process.

the third part is based on the results of breast biopsy in the diagnosis process.

the fourth part introduces the suitable treatment based on the stages of breast cancer.

the experimental results show high efficiency of the proposed system for helping in diagnosis and treatment.

American Psychological Association (APA)

Abd al-Al, Najwa Muhammad& al-Alfi, Ata Ibrahim Imam& Al-Muji, Fatin Abd al-Sattar Zahran. 2022. An intelligent educational system for breast cancer management. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 3, pp.39-53.
https://search.emarefa.net/detail/BIM-1409075

Modern Language Association (MLA)

Abd al-Al, Najwa Muhammad…[et al.]. An intelligent educational system for breast cancer management. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 3 (Aug. 2022), pp.39-53.
https://search.emarefa.net/detail/BIM-1409075

American Medical Association (AMA)

Abd al-Al, Najwa Muhammad& al-Alfi, Ata Ibrahim Imam& Al-Muji, Fatin Abd al-Sattar Zahran. An intelligent educational system for breast cancer management. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 3, pp.39-53.
https://search.emarefa.net/detail/BIM-1409075

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 52-53

Record ID

BIM-1409075