BONE ABNORMALITIES DETECTION AND CLASSIFICATION USING DEEP LEARNING-VGG16 ALGORITHM

field_of_study

Blank

university

Al-Azhar University – Gaza

authors

BARHOOM A.M.A.; AL-HIEALY M.R.J.; ABU-NASER S.S.

authors_full_names

BARHOOM, ALAA M.A. (57841733100); AL-HIEALY, Mohammed Rasheed J. (57563212300); ABU-NASER, SAMY S. (26533902900)

authors_id

57841733100; 57563212300; 26533902900

year

2022

source_title

Journal of Theoretical and Applied Information Technology

article_title

BONE ABNORMALITIES DETECTION AND CLASSIFICATION USING DEEP LEARNING-VGG16 ALGORITHM

volume

100

issue

20

page_start

6173

page_end

6184

publisher

Little Lion Scientific

affiliations

University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine

authors_with_affiliations

BARHOOM A.M.A., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; AL-HIEALY M.R.J., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; ABU-NASER S.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine

corresponding_author

A.M.A. BARHOOM; University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; email: p05210001@student.unimy.edu.my

cited_by

55

author_keywords

Bone Abnormalities; Deep Learning; VGG16