25 citations · 47 across the 3 of their papers we have counts for
4 papers · 1 filter
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity
Gorkem Polat, Ümit Mert Çağlar, Alptekin Temizel
Assessing disease severity with ordinal classes, where each class reflects increasing severity levels, benefits from loss functions designed for this ordinal structure. Traditional…
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Sharib Ali, Noha Ghatwary, Debesh Jha +29
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and charac…
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34
The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks
Gorkem Polat, Ugur Halici, Yesim Serinagaoglu Dogrusoz
Recent studies have shown that lung cancer screening using annual low-dose computed tomography (CT) reduces lung cancer mortality by 20% compared to traditional chest radiography.…