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Common Limitations of Image Processing Metrics: A Picture Story

Common Limitations of Image Processing Metrics: A Picture Story

12 April 2021
Annika Reinke
M. Tizabi
Carole H. Sudre
Matthias Eisenmann
Tim Radsch
Michael Baumgartner
Laura Acion
Michela Antonelli
Tal Arbel
Spyridon Bakas
Peter Bankhead
Arriel Benis
Matthew Blaschko
Florian Buettner
M. Jorge Cardoso
Jianxu Chen
V. Cheplygina
Evangelia Christodoulou
Beth A. Cimini
Gary S. Collins
Sandy Engelhardt
Keyvan Farahani
Luciana Ferrer
Adrian Galdran
Bram van Ginneken
Ben Glocker
Patrick Godau
Robert Haase
Fred Hamprecht
Daniel A. Hashimoto
Doreen Heckmann-Notzel
Peter Hirsch
Michael M. Hoffman
Merel Huisman
Fabian Isensee
Pierre Jannin
Charles E. Kahn
Dagmar Kainmueller
Bernhard Kainz
Alexandros Karargyris
Alan Karthikesalingam
A. Emre Kavur
Hannes G. Kenngott
Jens Kleesiek
Andreas Kleppe
Sven Kohler
Florian Kofler
A. Kopp-Schneider
Thijs Kooi
Michal Kozubek
Anna Kreshuk
Tahsin M. Kurc
Bennett A. Landman
G. Litjens
Amin Madani
Klaus Maier-Hein
Anne L. Martel
Peter Mattson
Erik Meijering
Bjoern H. Menze
David Moher
Karel G. M. Moons
Henning Muller
Brennan Nichyporuk
Felix Nickel
M. Alican Noyan
Jens Petersen
Gorkem Polat
Susanne M. Rafelski
Nasir Rajpoot
M. Reyes
Nicola Rieke
Michael Riegler
Hassan Rivaz
Julio Saez-Rodriguez
Clara I. Sánchez
Julien Schroeter
Anindo Saha
M. Alper Selver
Lalith Sharan
Shravya Shetty
Maarten van Smeden
B. Stieltjes
Ronald M. Summers
Abdel A. Taha
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Manuel Wiesenfarth
Ziv R. Yaniv
Paul Jäger
Lena Maier-Hein
ArXivPDFHTML

Papers citing "Common Limitations of Image Processing Metrics: A Picture Story"

47 / 47 papers shown
Title
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas
Muhammad Umair Danish
Madhushan Buwaneswaran
Tehara Fonseka
Katarina Grolinger
AI4CE
49
1
0
21 Feb 2025
A New Approach for Evaluating and Improving the Performance of
  Segmentation Algorithms on Hard-to-Detect Blood Vessels
A New Approach for Evaluating and Improving the Performance of Segmentation Algorithms on Hard-to-Detect Blood Vessels
Joao Pedro Parella
Matheus V. da Silva
C. H. Comin
39
0
0
19 Jun 2024
How Much Data are Enough? Investigating Dataset Requirements for
  Patch-Based Brain MRI Segmentation Tasks
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
Dongang Wang
Peilin Liu
Hengrui Wang
H. Beadnall
K. Kyle
...
Tom Weidong Cai
Wanli Ouyang
Fernando Calamante
Michael Barnett
Chenyu Wang
32
2
0
04 Apr 2024
CT respiratory motion synthesis using joint supervised and adversarial
  learning
CT respiratory motion synthesis using joint supervised and adversarial learning
Yi-Heng Cao
V. Bourbonne
F. Lucia
U. Schick
J. Bert
V. Jaouen
D. Visvikis
OOD
MedIm
21
0
0
29 Mar 2024
CT evaluation of 2D and 3D holistic deep learning methods for the
  volumetric segmentation of airway lesions
CT evaluation of 2D and 3D holistic deep learning methods for the volumetric segmentation of airway lesions
Amel Imene Hadj Bouzid
B. D. D. Senneville
F. Baldacci
P. Desbarats
P. Berger
I. Benlala
G. Dournes
41
2
0
12 Mar 2024
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning
  Models for Thoracic Anatomical Segmentation
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation
Arash Harirpoush
Amir Rasoulian
Marta Kersten-Oertel
Yiming Xiao
3DV
11
0
0
05 Feb 2024
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware
  Anatomical Segmentation of the Circle of Willis for CTA and MRA
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
Kaiyuan Yang
Fabio Musio
Yihui Ma
Norman Juchler
Johannes C. Paetzold
...
Klaus Maier-Hein
et al.
Sven Hirsch
Susanne Wegener
Bjoern H. Menze
21
23
0
29 Dec 2023
Panoptica -- instance-wise evaluation of 3D semantic and instance
  segmentation maps
Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
Florian Kofler
Hendrik Möller
Josef A. Buchner
Ezequiel de la Rosa
Ivan Ezhov
...
Stefan K. Ehrlich
Annika Reinke
Bjoern H. Menze
Benedikt Wiestler
Marie Piraud
ISeg
22
7
0
05 Dec 2023
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers
Glioblastoma Tumor Segmentation using an Ensemble of Vision Transformers
Huafeng Liu
Benjamin Dowdell
Todd Engelder
Zarah Pulmano
Nicolas Osa
Arko Barman
MedIm
22
1
0
09 Nov 2023
Can ultrasound confidence maps predict sonographers' labeling
  variability?
Can ultrasound confidence maps predict sonographers' labeling variability?
Vanessa Gonzalez Duque
Leonhard Zirus
Yordanka Velikova
Nassir Navab
Diana Mateus
19
0
0
18 Aug 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training
  methodologies to private data
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
L. Boulogne
Julian Lorenz
Daniel Kienzle
Robin Schon
K. Ludwig
...
C. Russ
R. Ionasec
Nikos Paragios
Bram van Ginneken
Marieke Dubois
28
4
0
18 Jun 2023
Improving Segmentation of Objects with Varying Sizes in Biomedical
  Images using Instance-wise and Center-of-Instance Segmentation Loss Function
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function
M. F. Rachmadi
Charissa Poon
Henrik Skibbe
ISeg
19
5
0
13 Apr 2023
Why is the winner the best?
Why is the winner the best?
Matthias Eisenmann
Annika Reinke
V. Weru
M. Tizabi
Fabian Isensee
...
Zixuan Zhao
Klaus Maier-Hein
Paul F. Jäger
A. Kopp-Schneider
Lena Maier-Hein
25
22
0
30 Mar 2023
Why is plausibility surprisingly problematic as an XAI criterion?
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
55
3
0
30 Mar 2023
Revisiting Hidden Representations in Transfer Learning for Medical
  Imaging
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte
Amelia Jiménez-Sánchez
V. Cheplygina
OOD
19
1
0
16 Feb 2023
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for
  White Matter Lesion Segmentation
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
Vatsal Raina
Nataliia Molchanova
Mara Graziani
A. Malinin
Henning Muller
Meritxell Bach Cuadra
Mark J. F. Gales
29
9
0
10 Feb 2023
Understanding metric-related pitfalls in image analysis validation
Understanding metric-related pitfalls in image analysis validation
Annika Reinke
M. Tizabi
Michael Baumgartner
Matthias Eisenmann
Doreen Heckmann-Notzel
...
Gaël Varoquaux
Manuel Wiesenfarth
Ziv R. Yaniv
Paul F. Jäger
Lena Maier-Hein
34
51
0
03 Feb 2023
A new dataset for measuring the performance of blood vessel segmentation
  methods under distribution shifts
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts
Matheus V. da Silva
Natália de Carvalho Santos
Julie Ouellette
Baptiste Lacoste
C. H. Comin
27
1
0
11 Jan 2023
Approaching Peak Ground Truth
Approaching Peak Ground Truth
Florian Kofler
J. Wahle
Ivan Ezhov
S. J. Wagner
Rami Al-Maskari
...
Jan Kirschke
C. Zimmer
Benedikt Wiestler
Bjoern H. Menze
Marie Piraud
31
9
0
31 Dec 2022
UNETR++: Delving into Efficient and Accurate 3D Medical Image
  Segmentation
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman M. Shaker
Muhammad Maaz
H. Rasheed
Salman Khan
Ming Yang
Fahad Shahbaz Khan
MedIm
40
130
0
08 Dec 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image
  Classification
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger
Carsten T. Lüth
Lukas Klein
Till J. Bungert
UQCV
26
35
0
28 Nov 2022
ProstAttention-Net: A deep attention model for prostate cancer
  segmentation by aggressiveness in MRI scans
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Audrey Duran
Gaspard Dussert
O. Rouvière
Tristan Jaouen
Pierre-Marc Jodoin
Carole Lartizien
MedIm
33
70
0
23 Nov 2022
Sources of performance variability in deep learning-based polyp
  detection
Sources of performance variability in deep learning-based polyp detection
T. Tran
T. Adler
Amine Yamlahi
E. Christodoulou
Patrick Godau
...
M. Tizabi
Peter Sauer
Tillmann Persicke
Jörg Gerhard Albert
Lena Maier-Hein
18
12
0
17 Nov 2022
Are Face Detection Models Biased?
Are Face Detection Models Biased?
S. Mittal
K. Thakral
P. Majumdar
Mayank Vatsa
Richa Singh
CVBM
26
5
0
07 Nov 2022
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
60
482
0
04 Nov 2022
Labeling instructions matter in biomedical image analysis
Labeling instructions matter in biomedical image analysis
Tim Radsch
Annika Reinke
V. Weru
M. Tizabi
Nicholas Schreck
A. Emre Kavur
Bunyamin Pekdemir
T. Ross
A. Kopp-Schneider
Lena Maier-Hein
25
53
0
20 Jul 2022
From Correlation to Causation: Formalizing Interpretable Machine
  Learning as a Statistical Process
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process
Lukas Klein
Mennatallah El-Assady
Paul F. Jäger
CML
13
1
0
11 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark J. F. Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
30
28
0
30 Jun 2022
mvHOTA: A multi-view higher order tracking accuracy metric to measure
  spatial and temporal associations in multi-point detection
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
Lalith Sharan
Halvar Kelm
Gabriele Romano
M. Karck
R. de Simone
Sandy Engelhardt
31
0
0
19 Jun 2022
The Open Kidney Ultrasound Data Set
The Open Kidney Ultrasound Data Set
Rohit Singla
Cailin Ringstrom
Grace Hu
V. Lessoway
Janice Reid
C. Nguan
R. Rohling
14
12
0
14 Jun 2022
Medical Image Registration via Neural Fields
Medical Image Registration via Neural Fields
Shanlin Sun
Kun Han
Hao Tang
Deying Kong
Junayed Naushad
Xiangyi Yan
Xiaohui Xie
MedIm
25
12
0
07 Jun 2022
Metrics reloaded: Recommendations for image analysis validation
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein
Annika Reinke
Patrick Godau
M. Tizabi
Florian Buettner
...
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Paul F. Jäger
34
217
0
03 Jun 2022
Preoperative brain tumor imaging: models and software for segmentation
  and standardized reporting
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget
André Pedersen
A. Jakola
V. Kavouridis
K. Emblem
...
M. Witte
A. Zwinderman
P. D. W. Hamer
O. Solheim
Ingerid Reinertsen
28
21
0
29 Apr 2022
Rethinking Machine Learning Model Evaluation in Pathology
Rethinking Machine Learning Model Evaluation in Pathology
Syed Ashar Javed
Dinkar Juyal
Zahil Shanis
S. Chakraborty
Harsha Pokkalla
Aaditya (Adi) Prakash
LM&MA
30
12
0
11 Apr 2022
A deep learning framework for the detection and quantification of drusen
  and reticular pseudodrusen on optical coherence tomography
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
R. Schwartz
Hagar Khalid
S. Liakopoulos
Y. Ouyang
Coen de Vente
...
Zhichao Wu
Himeesh Kumar
Joseph Farrington
C. Sánchez
A. Tufail
25
26
0
05 Apr 2022
Improving anatomical plausibility in medical image segmentation via
  hybrid graph neural networks: applications to chest x-ray analysis
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Nicolás Gaggion
Lucas Mansilla
Candelaria Mosquera
Diego H. Milone
Enzo Ferrante
MedIm
6
38
0
21 Mar 2022
Deep Neural Network for Automatic Assessment of Dysphonia
Deep Neural Network for Automatic Assessment of Dysphonia
Mario Alejandro García
Ana Lorena Rosset
16
5
0
25 Feb 2022
Comparison of Evaluation Metrics for Landmark Detection in CMR Images
Comparison of Evaluation Metrics for Landmark Detection in CMR Images
Sven Koehler
Lalith Sharan
Julian Kuhm
A. Ghanaat
Jelizaveta Gordejeva
N.K. Simon
Niko M. Grell
Florian André
Sandy Engelhardt
15
5
0
25 Jan 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in
  Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking
  Results
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta
Angelos Filos
Ujjwal Baid
C. Sako
Richard McKinley
...
Christos Davatzikos
Bjoern H. Menze
Spyridon Bakas
Y. Gal
Tal Arbel
UQCV
17
44
0
19 Dec 2021
Robust deep learning-based semantic organ segmentation in hyperspectral
  images
Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz
Jiansheng Fang
Jan Odenthal
Berkin Özdemir
Huazhu Fu
...
Jiang-Dong Liu
Martin Wagner
Felix Nickel
Beat P. Müller-Stich
Lena Maier-Hein
34
8
0
09 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for
  biomedical image segmentation
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
Michael Yeung
L. Rundo
Yang Nan
Evis Sala
Carola-Bibiane Schönlieb
Guang Yang
UQCV
25
30
0
31 Oct 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence
  using Federated Evaluation
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
Alexandros Karargyris
Renato Umeton
Micah J. Sheller
Alejandro Aristizabal
Johnu George
...
Poonam Yadav
Michael Rosenthal
M. Loda
Jason M. Johnson
Peter Mattson
FedML
46
73
0
29 Sep 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
69
951
0
10 Jun 2021
Semantic segmentation of multispectral photoacoustic images using deep
  learning
Semantic segmentation of multispectral photoacoustic images using deep learning
Melanie Schellenberg
Kris K. Dreher
Niklas Holzwarth
Fabian Isensee
Annika Reinke
Nicholas Schreck
A. Seitel
M. Tizabi
Lena Maier-Hein
J. Gröhl
27
32
0
20 May 2021
Chameleon: A Semi-AutoML framework targeting quick and scalable
  development and deployment of production-ready ML systems for SMEs
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
Johannes Otterbach
Thomas Wollmann
27
1
0
08 May 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable
  End-to-End Clinical Workflows in Medical Imaging
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati
Siddhesh P. Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
Bhakti Baheti
...
D. Kontos
Alexandros Karargyris
Renato Umeton
Peter Mattson
Spyridon Bakas
LM&MA
MedIm
76
44
0
26 Feb 2021
Surgical Data Science -- from Concepts toward Clinical Translation
Surgical Data Science -- from Concepts toward Clinical Translation
Lena Maier-Hein
Matthias Eisenmann
Duygu Sarikaya
Keno Marz
Toby Collins
...
D. Teber
F. Uckert
Beat P. Müller-Stich
Pierre Jannin
Stefanie Speidel
AI4CE
25
223
0
30 Oct 2020
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