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A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
18 January 2022
A. Genç
L. Kovarik
H. Fraser
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Papers citing
"A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials"
2 / 2 papers shown
Title
A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles
A. Genç
Justin Marlowe
Anika Jalil
L. Kovarik
Phillip Christopher
32
1
0
02 Oct 2024
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
30
393
0
08 Feb 2021
1