Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Multi-Classification of Cell Lines using DHM and Machine Learning

Not Accessible

Your library or personal account may give you access

Abstract

We aim to achieve high performance classification of four cell lines, two breast cancer and two non-cancer, with varied epithelial and mesenchymal morphologies, and to determine the best machine learning model and to identify features most strongly influencing model performance.

© 2022 The Author(s)

PDF Article
More Like This
Machine learning and phase signatures in cell line classification

Van K. Lam, Thanh Nguyen, Thuc Phan, Byung-Min Chung, George Nehmetallah, and Christopher B. Raub
Th4A.2 Digital Holography and Three-Dimensional Imaging (DH) 2019

Machine learning (ML) and quantitative phase imaging scoring of epithelial and mesenchymal features of cancer cells

V. K. Lam, T. Nguyen, V. Bui, B.-M. Chung, L-C. Chang, G. Nehmetallah, and C. B. Raub
JTh2A.16 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2020

Classifying Breast Cancer Cell Lines of Different Metastasis Potentials using Visible Resonance Raman Spectroscopy and Machine Learning

Binlin Wu, Lin Zhang, Kenneth Jimenez, Susie Boydston-White, Eric Wang, Cheng-hui Liu, and Robert R Alfano
AW2T.5 CLEO: Applications and Technology (CLEO:A&T) 2021

Poster Presentation

Media 1: PDF (1121 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.