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Found 6 papers, 0 papers with code
Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring
Inflammatory bowel disease (IBD), in particular ulcerative colitis (UC), is graded by endoscopists and this assessment is the basis for risk stratification and therapy monitoring.
EndoUDA: A modality independent segmentation approach for endoscopy imaging
While, today most segmentation approaches are supervised and only concentrated on a single modality dataset, this work exploits to use a target-independent unsupervised domain adaptation (UDA) technique that is capable to generalize to an unseen target modality.
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy
We propose an end-to-end CNN-based framework for the segmentation of stones and laser fiber.
Sub-MeV spectroscopy with AstroSat-CZT Imager for Gamma Ray Bursts
While the 2-pixel Compton scattered events (100 - 300 keV) are used to extract sensitive spectroscopic information, the inclusion of the low-gain pixels (around 20% of the detector plane) after careful calibration extends the energy range of Compton energy spectra to 600 keV.
High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
Exploring Sub-MeV Sensitivity of AstroSat-CZTI for ON-axis Bright Sources
Here we explore the possibility of using the Compton events as well as the low gain pixels to extend the spectroscopic energy range of CZTI for ON-axis bright X-ray sources.
Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation
Our dataset consists of a total of 871 images consisting of both source and target domains.
