Back to search

Article

Explainable Deep Learning for TEM-Based Classification of Carbon Nanoparticles: A ResNet50 Transfer Learning Approach

2025-08-26

Abstract excerpt

<title>Abstract</title> <p>Precise and explainable nanoparticle categorization from Transmission Electron Microscopy (TEM) images is critical for nanotechnology material assessment and quality checking. Cutting-edge automated methods suffer from limited annotated datasets and high morphological heterogeneity, making it challenging to model generalization and robustness. In this paper, an efficient focused deep le...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d7baf8be-b8ff-5ba0-a28e-1a7b63e02be2
DOI
10.21203/rs.3.rs-7437155/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Explainable Deep Learning for TEM-Based Classification of Carbon Nanoparticles: A ResNet50 Transfer Learning ApproachDOI 10.21203/rs.3.rs-7437155/v1
Select a neighboring publication to make it the new centre.