Publications by authors named "Osman Nuri Bayrak"
Article Synopsis
- This study looked at how reliable a method called consensus-based segmentation is for analyzing tumor images from MRI and CT scans.
- Researchers examined three types of tumors with 30 samples each and had 12 people help in the process of breaking down the images.
- The results showed that many of the features were not consistently reproducible, which means that using just this method for segmentation might not be a good idea without checking how reliable it is first.
Purpose: The purpose of this study was to conduct a meta-research of radiomics-related articles for the publication of negative results, with a focus on the leading clinical radiology journals due to their purportedly high editorial standards.
Methods: A literature search was performed in PubMed to identify original research studies on radiomics (last search date: August 16th, 2022). The search was restricted to studies published in Q1 clinical radiology journals indexed by Scopus and Web of Science.
Rationale And Objectives: Reproducibility of artificial intelligence (AI) research has become a growing concern. One of the fundamental reasons is the lack of transparency in data, code, and model. In this work, we aimed to systematically review the radiology and nuclear medicine papers on AI in terms of transparency and open science.
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