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Suggestive Annotation: A Deep Active Learning Framework for Biomedical
  Image Segmentation

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

15 June 2017
L. Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
D. Z. Chen
    MedIm
ArXivPDFHTML

Papers citing "Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation"

50 / 56 papers shown
Title
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
79
1
0
25 Nov 2024
Assistive Image Annotation Systems with Deep Learning and Natural
  Language Capabilities: A Review
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review
Moseli Motsóehli
VLM
3DV
30
0
0
28 Jun 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-Step Active Learning for Instance Segmentation with Uncertainty and
  Diversity Sampling
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu
Yuanmin Tang
Giulia DeSalvo
Suraj Kothawade
Abdullah Rashwan
S. Tavakkol
Kayhan Batmanghelich
Xiaoqi Yin
ISeg
19
0
0
28 Sep 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in
  Musculoskeletal Segmentation of Lower Extremities
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
Ganping Li
Yoshito Otake
Mazen Soufi
M. Taniguchi
Masahide Yagi
N. Ichihashi
Keisuke Uemura
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
24
3
0
26 Jul 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
0
16 Jan 2023
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
  for Salient Object Detection
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu
Lin Wang
Wen Wang
Qing Xia
Chenglizhao Chen
Aimin Hao
Shuo Li
AAML
25
5
0
13 Dec 2022
Semantic Segmentation for Fully Automated Macrofouling Analysis on
  Coatings after Field Exposure
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
Lutz M. K. Krause
Emily Manderfeld
Patricia Gnutt
Louisa Vogler
Ann Wassick
...
Marco Rudolph
K. Hunsucker
G. Swain
Bodo Rosenhahn
A. Rosenhahn
13
5
0
21 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document
  Extraction Models
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Yichao Zhou
James Bradley Wendt
Navneet Potti
Jing Xie
Sandeep Tata
VLM
24
1
0
28 Oct 2022
Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
V. Nath
Dong Yang
H. Roth
Daguang Xu
34
25
0
13 Sep 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
15
56
0
18 Aug 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
15
5
0
01 Aug 2022
Deep Active Learning with Budget Annotation
Deep Active Learning with Budget Annotation
P. Gikunda
15
0
0
31 Jul 2022
Active Pointly-Supervised Instance Segmentation
Active Pointly-Supervised Instance Segmentation
Chufeng Tang
Lingxi Xie
Gang Zhang
Xiaopeng Zhang
Qi Tian
Xiaolin Hu
ISeg
32
15
0
23 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
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A Survey
Madeline Chantry Schiappa
Y. S. Rawat
M. Shah
SSL
26
131
0
18 Jun 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
13
8
0
14 May 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road
  Semantic Segmentation
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
34
12
0
18 Feb 2022
Contrastive and Selective Hidden Embeddings for Medical Image
  Segmentation
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
21
8
0
21 Jan 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
30
13
0
11 Dec 2021
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
A semi-supervised self-training method to develop assistive intelligence
  for segmenting multiclass bridge elements from inspection videos
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
Muhammad Monjurul Karim
Ruwen Qin
Zhaozheng Yin
Genda Chen
16
24
0
10 Sep 2021
Field-Guide-Inspired Zero-Shot Learning
Field-Guide-Inspired Zero-Shot Learning
Utkarsh Mall
Bharath Hariharan
Kavita Bala
VLM
20
7
0
24 Aug 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang
Tianyang Wang
Haoyi Xiong
Jun Huan
Dejing Dou
UQCV
20
66
0
29 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
14
46
0
23 Jul 2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using
  Image-to-Image Translation
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Dejan Štepec
D. Skočaj
MedIm
19
12
0
28 Apr 2021
Quantization of Deep Neural Networks for Accurate Edge Computing
Quantization of Deep Neural Networks for Accurate Edge Computing
Wentao Chen
Hailong Qiu
Zhuang Jian
Chutong Zhang
Yu Hu
Qing Lu
Tianchen Wang
Yiyu Shi
Meiping Huang
Xiaowe Xu
37
21
0
25 Apr 2021
All you need are a few pixels: semantic segmentation with PixelPick
All you need are a few pixels: semantic segmentation with PixelPick
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
19
42
0
13 Apr 2021
NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image
  Denoising
NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image Denoising
Maoyuan Xu
Xiaoping Xie
13
14
0
17 Feb 2021
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
Ziyuan Zhao
Zeng Zeng
Kaixin Xu
Cen Chen
Cuntai Guan
13
65
0
22 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for
  Medical Image Segmentation
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
V. Nath
Dong Yang
Bennett A. Landman
Daguang Xu
H. Roth
27
68
0
07 Jan 2021
Active Deep Learning on Entity Resolution by Risk Sampling
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa
Qun Chen
Zhaoqiang Chen
Xingyu Lu
Haiyang He
Tianyi Duan
Zhanhuai Li
10
16
0
23 Dec 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
8
159
0
13 Aug 2020
A Weakly Supervised Region-Based Active Learning Method for COVID-19
  Segmentation in CT Images
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
I. Laradji
Pau Rodríguez López
Frederic Branchaud-Charron
Keegan Lensink
Parmida Atighehchian
William Parker
David Vazquez
Derek Nowrouzezahrai
31
19
0
07 Jul 2020
How useful is Active Learning for Image-based Plant Phenotyping?
How useful is Active Learning for Image-based Plant Phenotyping?
Koushik Nagasubramanian
Talukder Z. Jubery
Fateme Fotouhi Ardakani
S. Mirnezami
Asheesh K. Singh
Arti Singh
S. Sarkar
Baskar Ganapathysubramanian
VLM
18
16
0
07 Jun 2020
Batch Decorrelation for Active Metric Learning
Batch Decorrelation for Active Metric Learning
Priyadarshini Kumari
Ritesh Goru
Siddhartha Chaudhuri
Subhasis Chaudhuri
14
7
0
20 May 2020
Deeply Supervised Active Learning for Finger Bones Segmentation
Deeply Supervised Active Learning for Finger Bones Segmentation
Ziyuan Zhao
Xiaoyan Yang
B. Veeravalli
Zeng Zeng
19
13
0
07 May 2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained
  Histopathology Images of 10 Cancer Types
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
L. Hou
Rajarsi R. Gupta
John S. Van Arnam
Yuwei Zhang
Kaustubh Sivalenka
Dimitris Samaras
Tahsin M. Kurc
Joel H. Saltz
11
45
0
18 Feb 2020
Reinforced active learning for image segmentation
Reinforced active learning for image segmentation
Arantxa Casanova
Pedro H. O. Pinheiro
Negar Rostamzadeh
C. Pal
11
107
0
16 Feb 2020
Active Learning for Entity Alignment
Active Learning for Entity Alignment
M. Berrendorf
Evgeniy Faerman
Volker Tresp
19
17
0
24 Jan 2020
Active Learning for Segmentation Based on Bayesian Sample Queries
Active Learning for Segmentation Based on Bayesian Sample Queries
Firat Özdemir
Z. Peng
Philipp Fürnstahl
C. Tanner
O. Goksel
17
22
0
22 Dec 2019
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion
  Analysis
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Xueying Shi
Qi Dou
Cheng Xue
J. Qin
Hao Chen
Pheng-Ann Heng
12
38
0
05 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
9
750
0
27 Aug 2019
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for
  Personalized Musculoskeletal Modeling
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling
Yuta Hiasa
Y. Otake
Masaki Takao
Takeshi Ogawa
Nobuhiko Sugano
Yoshinobu Sato
11
109
0
21 Jul 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
8
652
0
09 May 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GAN
DRL
VLM
SSL
21
570
0
31 Mar 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
14
174
0
17 Feb 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Hao Zheng
Yizhe Zhang
Lin Yang
Peixian Liang
Zhuo Zhao
Chaoli Wang
D. Z. Chen
3DV
20
75
0
10 Dec 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
20
108
0
23 Oct 2018
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on
  Modified U-Net
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net
Yang Deng
Yao Sun
Yongpei Zhu
Mingwang Zhu
Wei Han
Kehong Yuan
11
13
0
19 Jul 2018
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