EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)

23 December 2022

Shuo Wang

Papers citing "EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)"

28 / 28 papers shown

Title
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge Sharib Ali N. Ghatwary Debesh Jha Ece Isik Polat Gorkem Polat ... Dominique Lamarque R. Cannizzaro S. Realdon Thomas de Lange J. East 106 64 0 24 Feb 2022
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy Debesh Jha Sharib Ali Krister Emanuelsen Steven A. Hicks VajiraThambawita ... Thomas de Lange P. Schmidt H. Johansen Dag Johansen Pål Halvorsen 35 111 0 23 Oct 2020
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features Myeongah Cho Taeoh Kim Woojin Kim Suhwan Cho Sangyoun Lee 47 93 0 15 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 104 797 0 24 Sep 2020
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows Marco Rudolph Bastian Wandt Bodo Rosenhahn UQCV 39 328 0 28 Aug 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features R. Schirrmeister Yuxuan Zhou T. Ball Dan Zhang UQCV 52 88 0 18 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 73 275 0 15 Jun 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 123 185 0 27 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 191 1,687 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 389 42,299 0 03 Dec 2019
Kvasir-SEG: A Segmented Polyp Dataset Debesh Jha P. Smedsrud Michael A. Riegler Pål Halvorsen Thomas de Lange Dag Johansen Haavard D. Johansen 168 1,166 0 16 Nov 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 174 720 0 07 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 96 377 0 06 Jun 2019
Endoscopy artifact detection (EAD 2019) challenge dataset Sharib Ali Felix Y Zhou Christian Daul B. Braden A. Bailey ... G. Wagnières V. Loschenov Enrico Grisan W. Blondel J. Rittscher 46 69 0 08 May 2019
A deep learning framework for quality assessment and restoration in video endoscopy Sharib Ali Felix Y Zhou A. Bailey B. Braden J. East Xin Lu J. Rittscher MedIm 46 116 0 15 Apr 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 173 1,475 0 11 Dec 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 112 622 0 02 Nov 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 57 756 0 22 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 279 3,124 0 09 Jul 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 154 9,390 0 09 Feb 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 145 3,441 0 07 Oct 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 250 3,693 0 26 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 662 36,801 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 478 62,122 0 04 Jun 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 155 3,270 0 05 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 121 2,257 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 426 16,944 0 20 Dec 2013