Local rotation invariance in 3D CNNs

Author:

Andrearczyk Vincent,Fageot Julien,Oreiller Valentin,Montet Xavier,Depeursinge AdrienORCID

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference40 articles.

1. Handbook of Mathematical Functions: with Formulas, Graphs, and Mathematical Tables;Abramowitz,1964

2. Andrearczyk, V., Depeursinge, A., 2018. Rotational 3D texture classification using group equivariant CNNs. arXiv:1810.06889.

3. Exploring local rotation invariance in 3D CNNs with steerable filters;Andrearczyk,2019

4. Solid spherical energy (SSE) CNNs for efficient 3D medical image analysis;Andrearczyk,2019

5. Using filter banks in convolutional neural networks for texture classification;Andrearczyk;Pattern Recognit. Lett.,2016

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