Supervised and semisupervised methods of nematode images classification for drug discovery

Lyuyang Wang; Sommer Chou; Gerry Wright; Lesley MacNeil; Mehdi Moradi

doi:10.1117/12.3006583

2 April 2024 Supervised and semisupervised methods of nematode images classification for drug discovery

Lyuyang Wang, Sommer Chou, Gerry Wright, Lesley MacNeil, Mehdi Moradi

Proceedings Volume 12930, Medical Imaging 2024: Clinical and Biomedical Imaging; 129301R (2024) https://doi.org/10.1117/12.3006583
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

We use computer vision to accelerate the discovery of antiparasitic drug candidates. We trained supervised and semi-supervised deep learning models for identifying images in which the natural product extracts being screened as drug candidates have effectively impacted nematode development. We have developed a novel dataset comprising 12,800 images, consisting of 4,640 labeled and 8,160 unlabeled nematode images. We report the performance of a variety of deep neural networks and loss functions in this application and show that DenseNet provides an accuracy of 86%. We also extended the approach to a semi-supervised learning methodology, using high-confidence pseudo-labels from unlabeled data to augment the training set iteratively. This semi-supervised method allows for the use of unlabeled data and contributes to enhanced test classification performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lyuyang Wang, Sommer Chou, Gerry Wright, Lesley MacNeil, and Mehdi Moradi "Supervised and semisupervised methods of nematode images classification for drug discovery", Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 129301R (2 April 2024); https://doi.org/10.1117/12.3006583

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