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Understanding the Influence of Receptive Field and Network Complexity in
  Neural-Network-Guided TEM Image Analysis

Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis

8 April 2022
Katherine Sytwu
Catherine K. Groschner
M. Scott
ArXivPDFHTML

Papers citing "Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis"

5 / 5 papers shown
Title
DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks
Xingfei Wei
Qiankun Mo
Chi Chen
Mark Bathe
Rigoberto Hernandez
31
0
0
13 Mar 2025
Demystifying the Effect of Receptive Field Size in U-Net Models for
  Medical Image Segmentation
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
Vincent Loos
Rohit Pardasani
Navchetan Awasthi
SSeg
48
2
0
24 Jun 2024
Self-Supervised Learning with Generative Adversarial Networks for
  Electron Microscopy
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
Bashir Kazimi
Karina Ruzaeva
Stefan Sandfeld
39
4
0
28 Feb 2024
A robust synthetic data generation framework for machine learning in
  High-Resolution Transmission Electron Microscopy (HRTEM)
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)
L. Dacosta
Katherine Sytwu
Catherine K. Groschner
Mary C Scott
25
4
0
12 Sep 2023
Generalization Across Experimental Parameters in Machine Learning
  Analysis of High Resolution Transmission Electron Microscopy Datasets
Generalization Across Experimental Parameters in Machine Learning Analysis of High Resolution Transmission Electron Microscopy Datasets
Katherine Sytwu
L. Dacosta
M. Scott
11
2
0
20 Jun 2023
1