Generic Feature Learning for Wireless Capsule Endoscopy Analysis

26 July 2016

Papers citing "Generic Feature Learning for Wireless Capsule Endoscopy Analysis"

7 / 7 papers shown

Title
A Hybrid Convolutional Neural Network with Meta Feature Learning for Abnormality Detection in Wireless Capsule Endoscopy Images Samir Jain Ayan Seal A. Ojha MedIm 10 5 0 20 Jul 2022
Time-based Self-supervised Learning for Wireless Capsule Endoscopy Guillem Pascual Pablo Laiz A. García Hagen Wenzek Jordi Vitrià Santi Seguí 24 11 0 20 Apr 2022
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy Anuja Vats Marius Pedersen A. Mohammed Ø. Hovde 22 7 0 30 Jun 2021
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis Luis A. de Souza L. C. Afonso A. Ebigbo A. Probst H. Messmann R. Mendel Christoph Palm João Paulo Papa 19 12 0 18 Jan 2021
WCE Polyp Detection with Triplet based Embeddings Pablo Laiz Jordi Vitrià Hagen Wenzek C. Malagelada F. Azpiroz Santi Seguí MedIm 11 20 0 10 Dec 2019
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network M. Hajabdollahi Reza Esfandiarpoor Elyas Sabeti N. Karimi S. Samavi S. M. Reza Soroushmehr Shadrokh Samavi 11 34 0 16 Sep 2018
Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy O. H. Maghsoudi 18 3 0 17 Nov 2017