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1802.07465
Cited By
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
21 February 2018
F. Guerrero-Peña
Pedro Diamel Marrero Fernández
Ing Ren Tsang
M. Yui
E. Rothenberg
Alexandre Cunha
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Papers citing
"Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells"
23 / 23 papers shown
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation
Renhao Lu
SSeg
405
5
0
09 Mar 2025
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator
Florian Robert
Alexia Calovoulos
Laurent Facq
Fanny Decoeur
Etienne Gontier
Christophe F. Grosset
B. D. D. Senneville
185
4
0
22 Jul 2024
AnyStar: Domain randomized universal star-convex 3D instance segmentation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Neel Dey
S. M. Abulnaga
Benjamin Billot
Esra Abaci Turk
P. E. Grant
Adrian Dalca
Polina Golland
MedIm
398
20
0
13 Jul 2023
Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue
Journal of Medical Imaging (JMI), 2023
A. Fakhrzadeh
Pouya Karimian
Mahsa Meyari
C. L. Luengo Hendriks
L. Holm
C. Sonne
R. Dietz
Ellinor Spörndly-Nees
MedIm
284
0
0
24 Jan 2023
SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
L. Mill
O. Aust
Jochen A. Ackermann
Philipp Burger
Monica Pascual
...
Rolf Schröder
Christian Holtzhausen
Samir Jabari
Andreas Maier
Anika Grüneboom
MedIm
374
2
0
29 Jul 2022
Interactive segmentation using U-Net with weight map and dynamic user interactions
Ragavie Pirabaharan
N. Khan
155
2
0
18 Nov 2021
Mapping illegal waste dumping sites with neural-network classification of satellite imagery
M. Devesa
Antonio Vazquez Brust
173
14
0
16 Oct 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images
International Work-Conference on Artificial and Natural Neural Networks (IWANN), 2021
W. Zamora-Cardenas
Mauro Mendez
Saul Calderon-Ramirez
Martin Vargas
Gerardo Monge
S. Quirós
David Elizondo
David Elizondo
Miguel A. Molina-Cabello
3DV
MedIm
218
4
0
10 Jun 2021
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations
Andreas Panteli
Jonas Teuwen
H. Horlings
E. Gavves
292
3
0
21 Apr 2021
Contour Proposal Networks for Biomedical Instance Segmentation
Eric Upschulte
Stefan Harmeling
Katrin Amunts
Timo Dickscheid
269
63
0
07 Apr 2021
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
International Conference on Pattern Recognition (ICPR), 2020
Beibin Li
E. Mercan
Sachin Mehta
S. Knezevich
C. Arnold
D. Weaver
J. Elmore
Linda G. Shapiro
314
6
0
11 Dec 2020
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
Rituparna Sarkar
Suvadip Mukherjee
E. Labruyère
Jean-Christophe Olivo-Marin
145
11
0
19 May 2020
DenoiSeg: Joint Denoising and Segmentation
T. Buchholz
M. Prakash
Alexander Krull
Florian Jug
3DV
DiffM
363
70
0
06 May 2020
Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning
F. Lux
P. Matula
155
26
0
03 Apr 2020
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images
Yoni Kasten
Daniel Doktofsky
I. Kovler
3DV
MedIm
299
114
0
02 Apr 2020
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
International Conference on Medical Imaging with Deep Learning (MIDL), 2020
Peter Hirsch
Dagmar Kainmueller
301
14
0
07 Feb 2020
Leveraging Self-supervised Denoising for Image Segmentation
IEEE International Symposium on Biomedical Imaging (ISBI), 2019
M. Prakash
T. Buchholz
Manan Lalit
P. Tomančák
Florian Jug
Alexander Krull
335
21
0
27 Nov 2019
J Regularization Improves Imbalanced Multiclass Segmentation
IEEE International Symposium on Biomedical Imaging (ISBI), 2019
F. Guerrero-Peña
Pedro Diamel Marrero Fernández
Paul T. Tarr
Ing Ren Tsang
E. Meyerowitz
Alexandre Cunha
189
34
0
22 Oct 2019
A Weakly Supervised Method for Instance Segmentation of Biological Cells
F. Guerrero-Peña
Pedro Diamel Marrero Fernández
Ing Ren Tsang
Alexandre Cunha
237
15
0
26 Aug 2019
Learning to segment microscopy images with lazy labels
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Peter Schütz
Carola-Bibiane Schönlieb
290
11
0
20 Jun 2019
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
Dennis Eschweiler
T. V. Spina
Rohan Choudhury
E. Meyerowitz
Alexandre Cunha
Johannes Stegmaier
232
57
0
16 Oct 2018
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification
Ty Nguyen
Tolga Özaslan
Ian D. Miller
J. Keller
Giuseppe Loianno
Camillo J Taylor
Daniel D. Lee
Vijay Kumar
Joseph H. Harwood
J. Wozencraft
186
19
0
18 Sep 2018
Cell Detection with Star-convex Polygons
Uwe Schmidt
Martin Weigert
Coleman Broaddus
E. Myers
627
1,486
0
09 Jun 2018
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