5 citations · 5 across the 2 of their papers we have counts for
3 papers
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Mohamed Akrout, Bálint Gyepesi, Péter Holló +9
Despite continued advancement in recent years, deep neural networks still rely on large amounts of training data to avoid overfitting. However, labeled training data for real-world…
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools
Mohamed Akrout, Hayet Amdouni, Amal Feriani +2
The evolution of behavior of dermatology patients has seen significantly accelerated change over the past decade, driven by surging availability and adoption of digital tools and p…
Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning
Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain +1
We present a visual symptom checker that combines a pre-trained Convolutional Neural Network (CNN) with a Reinforcement Learning (RL) agent as a Question Answering (QA) model. This…