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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
Danny Chen
    MedIm
ArXivPDFHTML

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

50 / 78 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
91
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
32
0
0
28 Jun 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
25
0
0
28 May 2024
Foundation Model Makes Clustering A Better Initialization For Cold-Start
  Active Learning
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning
Han Yuan
Chuan Hong
AI4CE
17
0
0
04 Feb 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
31
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
21
0
0
28 Sep 2023
Active Learning for Semantic Segmentation with Multi-class Label Query
Active Learning for Semantic Segmentation with Multi-class Label Query
S. Hwang
Sohyun Lee
Hoyoung Kim
Minhyeon Oh
Jungseul Ok
Suha Kwak
VLM
38
7
0
17 Sep 2023
Maturity-Aware Active Learning for Semantic Segmentation with
  Hierarchically-Adaptive Sample Assessment
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment
Amirsaeed Yazdani
Xuelu Li
V. Monga
EDL
41
0
0
28 Aug 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
29
3
0
26 Jul 2023
Active Learning Enhances Classification of Histopathology Whole Slide
  Images with Attention-based Multiple Instance Learning
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning
Ario Sadafi
Nassir Navab
Carsten Marr
22
2
0
02 Mar 2023
Active Learning with Combinatorial Coverage
Active Learning with Combinatorial Coverage
Sai Prathyush Katragadda
Tyler Cody
Peter A. Beling
Laura J. Freeman
16
6
0
28 Feb 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
41
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
32
1
0
28 Oct 2022
From colouring-in to pointillism: revisiting semantic segmentation
  supervision
From colouring-in to pointillism: revisiting semantic segmentation supervision
Rodrigo Benenson
V. Ferrari
VLM
21
18
0
25 Oct 2022
Deep Active Ensemble Sampling For Image Classification
Deep Active Ensemble Sampling For Image Classification
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
15
9
0
11 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
41
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
25
56
0
18 Aug 2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
T. Kadota
Hideaki Hayashi
Ryoma Bise
Kiyohito Tanaka
Seiichi Uchida
BDL
16
2
0
05 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
19
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
34
15
0
23 Jul 2022
SVGraph: Learning Semantic Graphs from Instructional Videos
SVGraph: Learning Semantic Graphs from Instructional Videos
Madeline Chantry Schiappa
Y. S. Rawat
17
4
0
16 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
21
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
36
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
25
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
39
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
35
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
43
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
32
89
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
22
24
0
10 Sep 2021
Field-Guide-Inspired Zero-Shot Learning
Field-Guide-Inspired Zero-Shot Learning
Utkarsh Mall
Bharath Hariharan
Kavita Bala
VLM
33
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
25
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
16
46
0
23 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation
  Based on Multi-Domain Data Aggregation
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
Hao Zheng
Jun Han
Hongxiao Wang
Lin Yang
Zhuo Zhao
Chaoli Wang
Danny Chen
13
23
0
10 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 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
35
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
46
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
24
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
21
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
21
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
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Hongxiao Wang
Hao Zheng
Jianxu Chen
Lin Yang
Yizhe Zhang
Danny Chen
MedIm
28
4
0
17 Dec 2020
Semi-supervised Active Learning for Instance Segmentation via Scoring
  Predictions
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Jun Wang
Shaoguo Wen
Kaixing Chen
Jianghua Yu
Xiaoxia Zhou
Peng Gao
Changsheng Li
Guotong Xie
ISeg
16
18
0
09 Dec 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
24
161
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
33
19
0
07 Jul 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided
  Sampling
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Chengliang Dai
Shuo Wang
Yuanhan Mo
Kaichen Zhou
Elsa D. Angelini
Yike Guo
Wenjia Bai
MedIm
22
33
0
26 Jun 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
26
16
0
07 Jun 2020
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