An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images

2 March 2021

Papers citing "An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images"

5 / 5 papers shown

Title
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images Yevgeniy Men Jonathan Fhima Leo Anthony Celi L. Z. Ribeiro Luis Filipe Nakayama Joachim A. Behar 38 4 0 22 Dec 2023
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning Valasia Vlachopoulou I. Sarafis Alexandros Papadopoulos 21 1 0 22 Aug 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions Alexandros Papadopoulos A. Delopoulos 17 2 0 29 Apr 2023
Deep image mining for diabetic retinopathy screening G. Quellec K. Charrière Yassine Boudi B. Cochener M. Lamard MedIm 36 413 0 22 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015