Imperfect Segmentation Labels: How Much Do They Matter?

12 June 2018

Papers citing "Imperfect Segmentation Labels: How Much Do They Matter?"

7 / 7 papers shown

Title
Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images Siddharth Kothari Srinivasan Murali Sankalp Kothari Ujjwal Verma Jaya Sreevalsan-Nair 47 0 0 03 May 2025
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model Yixin Zhang Shen Zhao Han Gu Maciej Mazurowski VLM 35 4 0 17 Dec 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 31 2 0 03 Apr 2023
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta J. Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 13 7 0 31 Oct 2022
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data S. Chatterjee Kartik Prabhu Mahantesh Pattadkal Gerda Bortsova Chompunuch Sarasaen Florian Dubost Hendrik Mattern Marleen de Bruijne Oliver Speck Andreas Nürnberger 14 18 0 18 Jun 2020
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes N. Heller N. Sathianathen A. Kalapara E. Walczak K. Moore ... M. Peterson Shaneabbas Raza S. Regmi Nikolaos Papanikolopoulos C. Weight 6 401 0 31 Mar 2019
Automated brain extraction of multi-sequence MRI using artificial neural networks Fabian Isensee Marianne Schell I. Tursunova G. Brugnara D. Bonekamp ... S. Heiland Wolfgang Wick Martin Bendszus Klaus Hermann Maier-Hein Philipp Kickingereder 14 476 0 31 Jan 2019