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Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

14 November 2020
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
ArXivPDFHTML

Papers citing "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty"

16 / 16 papers shown
Title
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
Chuyu Zhao
Hao Huang
Jiashuo Guo
Ziyu Shen
Zhongwei Zhou
Jie Liu
Zekuan Yu
45
0
0
06 May 2025
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
Soufiane Belharbi
Shakeeb Murtaza
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
54
4
0
28 Jan 2025
SDCL: Students Discrepancy-Informed Correction Learning for
  Semi-supervised Medical Image Segmentation
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
Bentao Song
Qingfeng Wang
43
3
0
25 Sep 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
38
20
0
09 Oct 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
H. Fu
UQCV
43
86
0
16 Feb 2023
Challenging mitosis detection algorithms: Global labels allow centroid
  localization
Challenging mitosis detection algorithms: Global labels allow centroid localization
Claudio Fernandez-Martín
Umay Kiraz
Julio Silva-Rodríguez
Sandra Morales
Emiel A. M. Janssen
Valery Naranjo
25
0
0
30 Nov 2022
TCAM: Temporal Class Activation Maps for Object Localization in
  Weakly-Labeled Unconstrained Videos
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
41
12
0
30 Aug 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
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Attention-based Dynamic Subspace Learners for Medical Image Analysis
V. SukeshAdiga
Jose Dolz
H. Lombaert
18
1
0
18 Jun 2022
F-CAM: Full Resolution Class Activation Maps via Guided Parametric
  Upscaling
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
Soufiane Belharbi
Aydin Sarraf
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
36
30
0
15 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised
  Segmentation Learning
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
31
5
0
26 Aug 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
16
25
0
15 Dec 2020
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion
  Localization in Deep Interpretability Frameworks: Application to Color Fundus
  Images
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images
C. González-Gonzalo
B. Liefers
Bram van Ginneken
C. I. Sánchez
MedIm
33
29
0
16 Oct 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
25
70
0
08 Sep 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
292
10,618
0
19 Feb 2017
Deep image mining for diabetic retinopathy screening
Deep image mining for diabetic retinopathy screening
G. Quellec
K. Charrière
Yassine Boudi
B. Cochener
M. Lamard
MedIm
36
413
0
22 Oct 2016
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