Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning

no code implementations • 8 Mar 2019 • Mohamed Akrout, Amir-Massoud Farahmand, Tory Jarmain, Latif Abid

Moreover, the increased accuracy is up to 10% compared to the approach that uses the visual information provided by CNN along with a conventional decision tree-based QA system.

General Classification Question Answering +2

Improving Skin Condition Classification with a Question Answering Model

no code implementations • 15 Nov 2018 • 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.

Classification General Classification +1