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Asymmetric Loss Functions and Deep Densely Connected Networks for Highly
  Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis
  Lesion Detection

Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection

28 March 2018
Seyed Raein Hashemi
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
S. Prabhu
Simon K. Warfield
Ali Gholipour
    MedIm
ArXivPDFHTML

Papers citing "Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection"

20 / 20 papers shown
Title
Automated segmenta-on of pediatric neuroblastoma on mul--modal MRI: Results of the SPPIN challenge at MICCAI 2023
Automated segmenta-on of pediatric neuroblastoma on mul--modal MRI: Results of the SPPIN challenge at MICCAI 2023
M.A.D. Buser
D.C. Simons
M. Fitski
M.H.W.A. Wijnen
A.S. Littooij
...
M.R. Aizenberg
B.H.M. van der Velden
H. Kuijf
A. De Luca
A.F.W. van der Steeg
28
0
0
01 May 2025
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
46
30
0
11 Jan 2024
FP-PET: Large Model, Multiple Loss And Focused Practice
FP-PET: Large Model, Multiple Loss And Focused Practice
Yixin Chen
Ourui Fu
Wenrui Shao
Zhaoheng Xie
29
0
0
22 Sep 2023
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
28
268
0
27 Nov 2022
PixelGame: Infrared small target segmentation as a Nash equilibrium
PixelGame: Infrared small target segmentation as a Nash equilibrium
Heng Zhou
Chunna Tian
Zhenxi Zhang
Chengyang Li
Yongqiang Xie
Zhongbo Li
35
14
0
26 May 2022
Point detection through multi-instance deep heatmap regression for
  sutures in endoscopy
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
Lalith Sharan
Gabriele Romano
Julian Brand
Halvar Kelm
M. Karck
R. de Simone
Sandy Engelhardt
30
10
0
16 Nov 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A
  Survey
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
55
83
0
19 Aug 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
32
9
0
18 May 2021
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
46
125
0
11 May 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
21
35
0
20 Apr 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image
  Segmentation
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Zeju Li
Konstantinos Kamnitsas
Ben Glocker
SSeg
UQCV
20
127
0
20 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
35
396
0
08 Feb 2021
DeepLesionBrain: Towards a broader deep-learning generalization for
  multiple sclerosis lesion segmentation
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
R. A. Kamraoui
Vinh-Thong Ta
T. Tourdias
Boris Mansencal
J. V. Manjón
Pierrick Coupé
OOD
31
50
0
14 Dec 2020
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
30
14
0
12 Dec 2020
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
39
823
0
26 Jun 2020
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
24
535
0
05 Dec 2019
Reducing the Hausdorff Distance in Medical Image Segmentation with
  Convolutional Neural Networks
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi
Septimiu E. Salcudean
MedIm
37
393
0
22 Apr 2019
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder
  U-NET
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
Mostafa Salem
Sergi Valverde
Mariano Cabezas
D. Pareto
A. Oliver
J. Salvi
À. Rovira
Xavier Llado
MedIm
24
61
0
17 Jan 2019
Exclusive Independent Probability Estimation using Deep 3D Fully
  Convolutional DenseNets: Application to IsoIntense Infant Brain MRI
  Segmentation
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
Seyed Raein Hashemi
S. Prabhu
Simon K. Warfield
Ali Gholipour
3DV
24
6
0
21 Sep 2018
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
44
330
0
27 Feb 2017
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