2 papers
cs.AI2019
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…
cs.CV2018
Improving Skin Condition Classification with a Question Answering Model
Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain
We present a skin condition classification methodology based on a sequential pipeline of a pre-trained Convolutional Neural Network (CNN) and a Question Answering (QA) model. This…