output
20072025
most citedReal-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

405 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

4 papers · 1 filter

eess.IV2020★ 52 cited

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study

Matthew Ng, Fumin Guo, Labonny Biswas +4

Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world…

cs.CV2020★ 405 cited

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

Debesh Jha, Sharib Ali, Nikhil Kumar Tomar +5

Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and…

cs.CV2020★ 172 cited

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…

eess.IV2020★ 48 cited

Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank

Edward Ferdian, Avan Suinesiaputra, Kenneth Fung +9

Purpose: To demonstrate the feasibility and performance of a fully automated deep learning framework to estimate myocardial strain from short-axis cardiac magnetic resonance tagged…