4 papers
Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation
Priya Tomar, Aditya Parikh, Christian Bauckhage +1
Effective multi-organ segmentation in surgical data requires learning the intricate anatomical features and alleviating the challenge of class imbalance, which results from relativ…
First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery
Priya Tomar, Maximilian BroÃ, Philipp Feodorovici +7
Surgical gauze is an essential part of surgical procedures, primarily used for controlling bleeding and absorbing bodily fluids. The post-surgical retention of gauze can lead to se…
Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
Aditya Parikh, Aasa Feragen
We present a fairness-aware framework for multi-class lung disease diagnosis from chest CT volumes, developed for the Fair Disease Diagnosis Challenge at the PHAROS-AIF-MIH Worksho…
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
Helen Schneider, Sebastian Nowak, Aditya Parikh +6
Image-based diagnostic decision support systems (DDSS) utilizing deep learning have the potential to optimize clinical workflows. However, developing DDSS requires extensive datase…