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cs.CV2024
Causality-Driven Audits of Model Robustness
Nathan Drenkow, William Paul, Chris Ribaudo +1
Robustness audits of deep neural networks (DNN) provide a means to uncover model sensitivities to the challenging real-world imaging conditions that significantly degrade DNN perfo…
cs.CV2024
From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments
Kanyifeechukwu J. Oguine, Roger D. Soberanis-Mukul, Nathan Drenkow +1
Purpose: Accurate tool segmentation is essential in computer-aided procedures. However, this task conveys challenges due to artifacts' presence and the limited training data in med…