Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation

21 July 2023

Papers citing "Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation"

5 / 5 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 246 1 0 25 Nov 2024
Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection Julio Silva-Rodríguez Adrián Colomer M. A. Sales Rafael Molina Valery Naranjo 49 118 0 21 May 2021
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 136 1,973 0 18 Sep 2018
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 117 2,145 0 11 Jul 2017
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 218 1,510 0 08 Jun 2015