Food Image Classification and Segmentation with Attention-based Multiple Instance Learning

no code implementations • 22 Aug 2023 • Valasia Vlachopoulou, Ioannis Sarafis, Alexandros Papadopoulos

To overcome these challenges, the paper presents a weakly supervised methodology for training food image classification and semantic segmentation models without relying on pixel-level annotations.

Image Classification Multiple Instance Learning +1

Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions

no code implementations • 29 Apr 2023 • Alexandros Papadopoulos, Anastasios Delopoulos

Yet for large scale studies, obtaining even the necessary coarse ground-truth is not trivial, as a complete neurological evaluation is required.

Multiple Instance Learning

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

no code implementations • 2 Mar 2021 • Alexandros Papadopoulos, Fotis Topouzis, Anastasios Delopoulos

Diabetic Retinopathy (DR) is a leading cause of vision loss globally.

BIG-bench Machine Learning Multiple Instance Learning

Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning

no code implementations • 6 May 2020 • Alexandros Papadopoulos, Konstantinos Kyritsis, Lisa Klingelhoefer, Sevasti Bostanjopoulou, K. Ray Chaudhuri, Anastasios Delopoulos

Parkinson's Disease (PD) is a slowly evolving neuro-logical disease that affects about 1% of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses.

Multiple Instance Learning Navigate