Deep learning based classification of wrist cracks from X-ray imaging

• Main Authors: Jahangir Jabbar, Muzammil Hussain, Hassaan Malik, Abdullah Gani, Ali Haider Khan, Muhammad Shiraz
• Format: Article
• Language: English; English
• Published: Tech Science Press 2022
• Subjects: RC71-78.7 Examination. Diagnosis Including radiography
• Online Access: https://eprints.ums.edu.my/id/eprint/33926/1/Deep%20learning%20based%20classification%20of%20wrist%20cracks%20from%20X-ray%20imaging.pdf; https://eprints.ums.edu.my/id/eprint/33926/3/Deep%20learning%20based%20classification%20of%20wrist%20cracks%20from%20X-ray%20imaging%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/33926/; https://file.techscience.com/ueditor/files/cmc/TSP_CMC-73-1/TSP_CMC_24965/TSP_CMC_24965.pdf; https://doi.org/10.32604/cmc.2022.024965

Wrist cracks are the most common sort of cracks with an excessive occurrence rate. For the routine detection of wrist cracks, conventional radiography (X-ray medical imaging) is used but periodically issues are presented by crack depiction. Wrist cracks often appear in the human arbitrary bone due t...