Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage - Département MathNum Access content directly
Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2024

Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage

Abstract

We visualize the predictions of multiple machine learning models to help biologists as they interactively make decisions about cell lineage---the development of a (plant) embryo from a single ovum cell. Based on a confocal microscopy dataset, traditionally biologists manually constructed the cell lineage, starting from this observation and reasoning backward in time to establish their inheritance. To speed up this tedious process, we make use of machine learning (ML) models trained on a database of manually established cell lineages to assist the biologist in cell assignment. Most biologists, however, are not familiar with ML, nor is it clear to them which model best predicts the embryo's development. We thus have developed a visualization system that is designed to support biologists in exploring and comparing ML models, checking the model predictions, detecting possible ML model mistakes, and deciding on the most likely embryo development. To evaluate our proposed system, we deployed our interface with six biologists in an observational study. Our results show that the visual representations of machine learning are easily understandable, and our tool, LineageD+, could potentially increase biologists' working efficiency and enhance the understanding of embryos.
Fichier principal
Vignette du fichier
Hong_2024_CVM.pdf (13.08 Mo) Télécharger le fichier
Vignette du fichier
Hong_2024_CVM.jpg (13.95 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image

Dates and versions

hal-04212205 , version 1 (20-09-2023)

Licence

Copyright

Identifiers

Cite

Jiayi Hong, Ross Maciejewski, Alain Trubuil, Tobias Isenberg. Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage. IEEE Transactions on Visualization and Computer Graphics, inPress, ⟨10.1109/TVCG.2023.3302308⟩. ⟨hal-04212205⟩
204 View
13 Download

Altmetric

Share

Gmail Facebook X LinkedIn More