no code implementations • 2 Nov 2023 • Anuja Vats, David Völgyes, Martijn Vermeer, Marius Pedersen, Kiran Raja, Daniele S. M. Fantin, Jacob Alexander Hay
We test the effectiveness of our approach by evaluating building segmentation performance on test datasets with varying label fractions.
no code implementations • 16 Jan 2023 • Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
Like training in other modalities such as traditional endoscopy, CT, MRI, etc., a WCE training protocol would require an atlas comprising of a large corpora of images that show vivid descriptions of pathologies and abnormalities, ideally observed over a period of time.
1 code implementation • 5 Dec 2022 • Anuja Vats, Ahmed Mohammed, Marius Pedersen, Nirmalie Wiratunga
Due to the unequivocal need for understanding the decision processes of deep learning networks, both modal-dependent and model-agnostic techniques have become very popular.
no code implementations • 10 Jun 2022 • Anuja Vats, Ahmed Mohammed, Marius Pedersen
Prior works have considered using higher quality and quantity of labels as a way of tackling the lack of generalization, however this is hardly scalable considering pathology diversity not to mention that labeling large datasets encumbers the medical staff additionally.
no code implementations • 30 Jun 2021 • Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
The progress in Computer Aided Diagnosis (CADx) of Wireless Capsule Endoscopy (WCE) is thwarted by the lack of data.