wrist-d

PyTorch Implementation for Fracture Detection in Wrist Bone X-ray Images

note:

Paper: Under Review at MPDI Diagnostics

Submission Date: November 12, 2021

abstract

It will be added after research paper accepted

Keywords: artificial intelligence; biomedical image processing; bone fractures; deep learning; fracture detection; object detection; transfer learning; wrist; X-ray

paper links

Paper: Under Review at MPDI Diagnostics

Preprint: https://arxiv.org/abs/2111.07355

Papers With Code: https://paperswithcode.com/paper/fracture-detection-in-wrist-x-ray-images

GitHub: https://github.com/fatihuysal88/wrist-d

authors

• Fırat HARDALAÇ - Prof. at Gazi University, Republic of Turkey.
• Fatih UYSAL - PhD Candidate and Research Assistant at Gazi University, Republic of Turkey.
• Ozan PEKER - MSc student at Gazi University, Republic of Turkey.
• Murat ÇİÇEKLİDAĞ - Research Assistant at Gazi University, Republic of Turkey.
• Tolga TOLUNAY - Assoc. Prof. at Gazi University, Republic of Turkey.
• Nil TOKGÖZ - Prof. at Gazi University, Republic of Turkey.
• Uğurhan KUTBAY - Assoc. Prof. at Gazi University, Republic of Turkey.
• Boran DEMİRCİLER - R&D Manager at Huawei Turkey.
• Fatih MERT - R&D Manager at Huawei Turkey.

proposed detection models

proposed ensemble models

model performance

sample of wrist fracture results

Note: ground-truth bounding box (green), predicted bounding box (red)

requirements