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Quality Of Reporting In Imaging Studies Applying Artificial Neural Network Models In Cancer Detection by Tayser Zoubi
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1Quality Of Reporting In Imaging Studies Applying Artificial Neural Network Models In Cancer Detection
By Tayser Zoubi, Samuel White, Minh Son To, Antonios Perperidis and Shubham Tiwari
We hope to assess the completeness of reporting, using TRIPOD-AI, in studies leveraging artificial neural networks (ANNs) for cancer screening, detection, and characterisation in medical imaging applications. By evaluating 99 studies, this project aims to identify significant gaps in methodological transparency. Our findings on reporting completeness can inform efforts toe enhance reporting standards and promote model reproducibility. This would ultimately facilitate clinical translation and implementation.
“Quality Of Reporting In Imaging Studies Applying Artificial Neural Network Models In Cancer Detection” Metadata:
- Title: ➤ Quality Of Reporting In Imaging Studies Applying Artificial Neural Network Models In Cancer Detection
- Authors: Tayser ZoubiSamuel WhiteMinh Son ToAntonios PerperidisShubham Tiwari
Edition Identifiers:
- Internet Archive ID: osf-registrations-jvem5-v1
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The book is available for download in "data" format, the size of the file-s is: 0.09 Mbs, the file-s went public at Sun Jun 29 2025.
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