Roto-Translation Equivariant Convolutional Networks: Application to
Histopathology Image Analysis

Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis

20 February 2020

Maxime W. Lafarge

Erik J. Bekkers

Papers citing "Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis"

10 / 10 papers shown

Title
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset Maxime W. Lafarge V. Koelzer 20 1 0 03 Jan 2023
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 14 5 0 22 Sep 2022
Mitosis domain generalization in histopathology images -- The MIDOG challenge Marc Aubreville N. Stathonikos C. Bertram Robert Klopleisch N. T. ter Hoeve ... A. Khademi Sen Yang Xiyue Wang M. Veta Katharina Breininger 26 95 0 06 Apr 2022
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 27 20 0 22 Apr 2021
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation Shengcong Chen Changxing Ding Minfeng Liu Jun Cheng Dacheng Tao 45 46 0 13 Feb 2021
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 16 87 0 06 Apr 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018