ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.03868
  4. Cited By
Marginal loss and exclusion loss for partially supervised multi-organ
  segmentation

Marginal loss and exclusion loss for partially supervised multi-organ segmentation

8 July 2020
Gonglei Shia
Li Xiaoa
Yang Chenb
Kevin Zhou
ArXivPDFHTML

Papers citing "Marginal loss and exclusion loss for partially supervised multi-organ segmentation"

10 / 10 papers shown
Title
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation
Jiong Wu
Yang Xing
Boxiao Yu
Wei Shao
Kuang Gong
MedIm
140
0
0
25 May 2025
Learning from Suspected Target: Bootstrapping Performance for Breast
  Cancer Detection in Mammography
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
Li Xiao
Cheng Zhu
Junjun Liu
Chunlong Luo
Peifang Liu
Yi Zhao
57
5
0
01 Mar 2020
Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Xi Fang
Pingkun Yan
SSeg
63
176
0
01 Jan 2020
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
108
859
0
25 Feb 2019
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image
  Segmentation
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
...
Jakob Wasserthal
Gregor Koehler
T. Norajitra
Sebastian J. Wirkert
Klaus H. Maier-Hein
SSeg
85
784
0
27 Sep 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ
  Segmentation
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Saeid Asgari Taghanaki
Yefeng Zheng
S. Kevin Zhou
Bogdan Georgescu
Puneet Sharma
Daguang Xu
Dorin Comaniciu
Ghassan Hamarneh
79
336
0
08 May 2018
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
Dong Yang
Daguang Xu
S. Kevin Zhou
Bogdan Georgescu
Mingqing Chen
Sasa Grbic
Dimitris N. Metaxas
Dorin Comaniciu
GAN
MedIm
41
227
0
25 Jul 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
78
1,455
0
07 Dec 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
346
13,134
0
12 Mar 2015
Large-scale Multi-label Learning with Missing Labels
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu
Prateek Jain
Purushottam Kar
Inderjit S. Dhillon
MQ
78
493
0
18 Jul 2013
1