Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches

Salih Beyaz, Koray Açıcı, Emre Sümer

Issue: 2020, Volume 31 - Issue 2 Pages: 175-183 DOI: 10.5606/ehc.2020.72163
5479 5591

Diagnosis of osteoarthritic changes, loss of cervical lordosis, and disc space narrowing on cervical radiographs with deep learning methods

Yüksel Maraş, Gül Tokdemir, Kemal Üreten, Ebru Atalar, Semra Duran, Hakan Maraş

Issue: 2022, Volume 33 - Issue 1 Pages: 093-101 DOI: 10.52312/jdrs.2022.445
3204 2822

The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods

Ebru Atalar, Kemal Üreten, Ulunay Kanatlı, Murat Çiçeklidağ, İbrahim Kaya, Abdurrahman Vural, Yüksel Maraş

Issue: 2023, Volume 34 - Issue 2 Pages: 298-304 DOI: 10.52312/jdrs.2023.996
2486 2023

Automated fracture detection in the ulna and radius using deep learning on upper extremity radiographs

Çağatay Berke Erdaş

Issue: 2023, Volume 34 - Issue 3 Pages: 598-604 DOI: 10.52312/jdrs.2023.1312
2950 1844

Segmentation of measurable images from standard plane of Graf hip ultrasonograms based on Mask Region-Based Convolutional Neural Network

Aysun Sezer, Hasan Basri Sezer

Issue: 2023, Volume 34 - Issue 3 Pages: 590-597 DOI: 10.52312/jdrs.2023.1308
1810 1624

High diagnostic accuracy of a resnet50-based deep learning model for osteochondral lesions of the talus on magnetic resonance imaging

Sultan Mujib Dabiry, Yunus Demirtaş, Fuat Türk, Tuğrul Yıldırım, Gökhan Ayık, Gökhan Çakmak

Issue: 2026, Volume 37 - Issue 2 Pages: 543-551 DOI: 10.52312/jdrs.2026.2719
0 23