Scale-Equivariant UNet for Histopathology Image Segmentation

10 April 2023

Papers citing "Scale-Equivariant UNet for Histopathology Image Segmentation"

10 / 10 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 50 1 0 17 Sep 2024
HyperSpace: Hypernetworks for spacing-adaptive image segmentation Samuel Joutard Maximilian Pietsch Raphael Prevost 47 3 0 04 Jul 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie Naoto Mitsume AI4CE 37 5 0 25 May 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 36 2 0 08 May 2024
Unified theory for joint covariance properties under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields Tony Lindeberg 16 7 0 17 Nov 2023
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 47 27 0 02 Oct 2023
Riesz feature representation: scale equivariant scattering network for classification tasks Tin Barisin Jesús Angulo K. Schladitz C. Redenbach 22 2 0 17 Jul 2023
Scale-Equivariant Deep Learning for 3D Data Thomas Wimmer Vladimir Golkov H. Dang Moritz Zaiss Andreas Maier Daniel Cremers 3DPC MedIm 26 5 0 12 Apr 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 22 3 0 10 Apr 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 26 11 0 17 Mar 2023