Robustness evaluation of CAD systems for lung nodule segmentation using clinically relevant image perturbations
Fidan Mammadli,
Terese A. E. Hellström,
Christiaan G. A. Viviers
et al.
Abstract:Lung cancer has both high incidence and mortality rates compared to other cancer types. One important factor for improved patient survival is early detection. Deep learning for lung nodule detection has been extensively studied, as a tool to facilitate clinicians with early nodule detection and classification. Many publications are reporting high detection accuracy and several models have been introduced to clinical practice. However, certain models may have reduced performance in real-world clinical practice.… Show more
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