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A survey of loss functions for semantic segmentation

A survey of loss functions for semantic segmentation

26 June 2020
Shruti Jadon
    SSeg
ArXivPDFHTML

Papers citing "A survey of loss functions for semantic segmentation"

19 / 119 papers shown
Title
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Konstantin Ditschuneit
Johannes Otterbach
21
5
0
26 Jan 2022
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in
  Electron Tomography of Catalytic Materials
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
A. Genç
L. Kovarik
H. Fraser
29
15
0
18 Jan 2022
Neuroplastic graph attention networks for nuclei segmentation in
  histopathology images
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Yoav Alon
Huiyu Zhou
GNN
27
3
0
10 Jan 2022
Deep ensembles in bioimage segmentation
Deep ensembles in bioimage segmentation
L. Nanni
Daniela Cuza
A. Lumini
Andrea Loreggia
S. Brahnam
SSeg
18
8
0
24 Dec 2021
Deep learning for brain metastasis detection and segmentation in
  longitudinal MRI data
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
Yixing Huang
Christoph Bert
P. Sommer
Benjamin Frey
U. Gaipl
...
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
11
41
0
22 Dec 2021
Explainable multiple abnormality classification of chest CT volumes
Explainable multiple abnormality classification of chest CT volumes
R. Draelos
Lawrence Carin
MedIm
26
12
0
24 Nov 2021
Smart Data Representations: Impact on the Accuracy of Deep Neural
  Networks
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Oliver Neumann
Nicole Ludwig
Marian Turowski
Benedikt Heidrich
V. Hagenmeyer
Ralf Mikut
AI4TS
42
1
0
17 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty
  Propagation in Encoder-Decoder Networks
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
Giuseppina Carannante
Dimah Dera
Nidhal C.Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
UQCV
AAML
OOD
27
6
0
10 Nov 2021
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free
  Survival using a Full-Scale UNet with Attention
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
Emmanuelle Bourigault
Daniel R. McGowan
A. Mehranian
Bartlomiej W. Papie.z
40
22
0
06 Nov 2021
Weakly supervised semantic segmentation of tomographic images in the
  diagnosis of stroke
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke
A. Dobshik
A. Tulupov
V. Berikov
19
3
0
04 Sep 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
54
94
0
01 Jul 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
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Aniket Pramanik
Xiaodong Wu
M. Jacob
3DV
21
5
0
19 May 2021
SemSegLoss: A python package of loss functions for semantic segmentation
SemSegLoss: A python package of loss functions for semantic segmentation
Shruti Jadon
SSeg
VLM
24
9
0
18 May 2021
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain
  Use-Case
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
S. Nesteruk
Dmitrii G. Shadrin
M. Pukalchik
15
9
0
24 Feb 2021
On Mathews Correlation Coefficient and Improved Distance Map Loss for
  Automatic Glacier Calving Front Segmentation in SAR Imagery
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
Amirabbas Davari
Saahil Islam
T. Seehaus
M. Braun
Andreas Maier
Vincent Christlein
37
19
0
16 Feb 2021
COVID-19 detection from scarce chest x-ray image data using few-shot
  deep learning approach
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach
Shruti Jadon
21
39
0
11 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
32
393
0
08 Feb 2021
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
40
189
0
21 Dec 2019
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