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Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction

Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction

1 January 2020
Xi Fang
Pingkun Yan
    SSeg
ArXivPDFHTML

Papers citing "Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction"

17 / 17 papers shown
Title
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
Onkar Susladkar
Gayatri S Deshmukh
Yalcin Tur
Ulas Bagci
MedIm
53
0
0
08 May 2025
GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation
GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation
Ruicheng Zhang
Haowei Guo
Zeyu Zhang
Puxin Yan
Shen Zhao
76
5
0
22 Jan 2025
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
38
0
0
25 May 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
77
12
0
15 Apr 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts
Ziheng Zhao
Yao Zhang
Chaoyi Wu
Xiaoman Zhang
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
VLM
MedIm
32
37
0
28 Dec 2023
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
29
10
0
07 Dec 2023
UniMOS: A Universal Framework For Multi-Organ Segmentation Over
  Label-Constrained Datasets
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets
Can Li
Sheng Shao
Junyi Qu
Shuchao Pang
M. Orgun
34
0
0
17 Nov 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
27
6
0
07 Feb 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
39
193
0
02 Jan 2023
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji
Haotian Bai
Jie-jin Yang
Chongjian Ge
Ye Zhu
...
Zhuguo Li
Lingyan Zhang
Wanling Ma
Xiang Wan
Ping Luo
OOD
15
295
0
16 Jun 2022
Universal Segmentation of 33 Anatomies
Universal Segmentation of 33 Anatomies
Peng Liu
Yang Deng
Ce Wang
Yuan Hui
Qian Li
...
You Hao
Honghu Xiao
Chunpeng Zhao
Xin Wu
S. Kevin Zhou
23
9
0
04 Mar 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury
  Segmentation with Limited Data
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
Yuyin Zhou
D. Dreizin
Yan Wang
Fengze Liu
Wei Shen
Alan Yuille
18
16
0
04 Jan 2022
Label-set Loss Functions for Partial Supervision: Application to Fetal
  Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Lucas Fidon
Michael Aertsen
Doaa Emam
Nada Mufti
Frédéric Guffens
...
A. David
Andrew Melbourne
Sébastien Ourselin
Jam Deprest
Tom Kamiel Magda Vercauteren
22
23
0
08 Jul 2021
Quantification of pulmonary involvement in COVID-19 pneumonia by means
  of a cascade oftwo U-nets: training and assessment on multipledatasets using
  different annotation criteria
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
Francesca Lizzi
Abramo Agosti
F. Brero
R. F. Cabini
M. Fantacci
...
S. Piffer
I. Postuma
L. Rinaldi
C. Talamonti
A. Retico
24
17
0
06 May 2021
Towards Robust Partially Supervised Multi-Structure Medical Image
  Segmentation on Small-Scale Data
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data
Nanqing Dong
Michael C. Kampffmeyer
Xiaodan Liang
Min Xu
Irina Voiculescu
Eric P. Xing
14
18
0
28 Nov 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
32
300
0
08 Jan 2020
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural
  Network Method
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Xiao Han
MedIm
38
155
0
24 Apr 2017
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