3 papers
cs.CV2020★ 24 cited
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
A. Mohammed, I. Farup, M. Pedersen +2
We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule…
cs.CV2020
2018 Robotic Scene Segmentation Challenge
Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…
cs.CV2018
Y-Net: A deep Convolutional Neural Network for Polyp Detection
Ahmed Mohammed, Sule Yildirim, Ivar Farup +2
Colorectal polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of cruc…