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DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers
  for Biomedical Image Segmentation

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

22 January 2021
Ziyuan Zhao
Zeng Zeng
Kaixin Xu
Cen Chen
Cuntai Guan
ArXivPDFHTML

Papers citing "DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation"

14 / 14 papers shown
Title
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
Mingjian Li
Mingyuan Meng
Shuchang Ye
David Dagan Feng
Lei Bi
Jinman Kim
82
0
0
18 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
86
1
0
25 Nov 2024
ProtoAL: Interpretable Deep Active Learning with prototypes for medical
  imaging
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
Iury B. de A. Santos
André C.P.L.F. de Carvalho
MedIm
22
1
0
06 Apr 2024
Correlation-aware active learning for surgery video segmentation
Correlation-aware active learning for surgery video segmentation
Fei Wu
Pablo Márquez-Neila
Mingyi Zheng
Hedyeh Rafii-Tari
Raphael Sznitman
29
3
0
15 Nov 2023
Two Heads are Better than One: A Bio-inspired Method for Improving
  Classification on EEG-ET Data
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
Eric Modesitt
Ruiqi Yang
Qi Liu
11
3
0
25 Mar 2023
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel
  Segmentation in Weakly-Supervised Learning with Locality Augmentation
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Amrest Chinkamol
Vetit Kanjaras
Phattarapong Sawangjai
Yitian Zhao
Thapanun Sudhawiyangkul
C. Chantrapornchai
Cuntai Guan
Theerawit Wilaiprasitporn
27
7
0
25 Jul 2022
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised
  Memory-efficient Medical Image Segmentation
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation
Ziyuan Zhao
An Zhu
Zeng Zeng
B. Veeravalli
Cuntai Guan
19
9
0
05 Jul 2022
Residual Channel Attention Network for Brain Glioma Segmentation
Residual Channel Attention Network for Brain Glioma Segmentation
Yiming Yao
Peisheng Qian
Ziyuan Zhao
Zeng Zeng
24
2
0
22 May 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Ziyuan Zhao
Wenjing Lu
Zeng Zeng
Kaixin Xu
B. Veeravalli
Cuntai Guan
18
8
0
14 May 2022
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Ziyuan Zhao
Peisheng Qian
Yubo Hou
Zeng Zeng
CVBM
21
7
0
31 Mar 2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Ziyuan Zhao
Kaixin Xu
Shumeng Li
Zeng Zeng
Cuntai Guan
OOD
17
44
0
23 Mar 2022
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic
  Segmentation using Patch-level Classification Labels
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han
Jiatai Lin
Jinhai Mai
Yi Wang
Qingling Zhang
...
Zeyan Xu
Xiaomei Huang
Guoqiang Han
Chang-xiu Liang
Zaiyi Liu
24
88
0
14 Oct 2021
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
D. Yang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
175
124
0
29 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,134
0
06 Jun 2015
1