Optimization of image recognition for the identification of psoriasis and eczema

Ankita Chatterjee

doi:10.1117/12.2632876

3 October 2022 Optimization of image recognition for the identification of psoriasis and eczema

Ankita Chatterjee

Proceedings Volume 12227, Applications of Machine Learning 2022; 122270U (2022) https://doi.org/10.1117/12.2632876
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Conference Poster

Abstract

While they have similar symptoms, Psoriasis and Eczema have vastly different underlying causes and behaviors. Our research explores state of the art Deep Learning techniques (ResNet152 and MobileNetV2) for distinguishing Psoriasis and Eczema. The dataset includes 99 images of hand Psoriasis, 102 hand Eczema, 49 foot Psoriasis, and 42 foot Eczema. Using ResNet152 and MobileNetV2 in a TensorFlow prototype, and hyper-parameter tuning both across a range of parameters, we demonstrated that both architectures deliver substantial accuracy improvements over past research. MobileNetV2 foot samples had a predictive accuracy of 94.11%, ResNet152 foot samples had a highest accuracy of 100%. The two deep learning solutions also distinguished conditions for hand images with accuracies ranging from 73.68-89.47%. The results are optimistic for using deep learning with skin images for diagnostic assistance for these two conditions. For future work, we are exploring image featurization techniques in combination with both neural networks and statistical machine learning techniques to further improve predictive performance.

Citation Download Citation

Ankita Chatterjee "Optimization of image recognition for the identification of psoriasis and eczema", Proc. SPIE 12227, Applications of Machine Learning 2022, 122270U (3 October 2022); https://doi.org/10.1117/12.2632876

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available