1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images
Peilong Wang, Timothy L. Kline, Andy D. Missert +6
Automated segmentation tools often encounter accuracy and adaptability issues when applied to images of different pathology. The purpose of this study is to explore the feasibility…
Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning
Darryl E. Wright, Cole Cook, Jason Klug +2
The de facto standard of dynamic histogram binning for radiomic feature extraction leads to an elevated sensitivity to fluctuations in annotated regions. This may impact the majori…
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification
Timothy L. Kline, Felipe Kitamura, Ian Pan +12
With the recent advances in A.I. methodologies and their application to medical imaging, there has been an explosion of related research programs utilizing these techniques to prod…