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Article

Performance of a Self-Supervised Pretrained Neural Network for Orthopedic Radiograph Classification

2026-08-10

Abstract excerpt

<h4>Purpose</h4> To evaluate whether domain-adaptive self-supervised pretraining on musculoskeletal radiographs improves fracture classification and attribution faithfulness relative to ImageNet-pretrained baselines. <h4>Materials and Methods</h4> This study (June 2025–May 2026) used previously acquired radiographs to compare three ResNet-50 initializations: supervised ImageNet pretraining (control), self-superv...

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Literature Corpus work
5ccc79cb-d0d1-52ea-9e1c-416f057bba7b
DOI
10.64898/2026.08.07.26359986
Open publication

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Performance of a Self-Supervised Pretrained Neural Network for Orthopedic Radiograph ClassificationDOI 10.64898/2026.08.07.26359986
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