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Monte-Carlo Sampling applied to Multiple Instance Learning for
  Histological Image Classification

Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification

30 December 2018
Marc Combalia
João Paulo Papa
ArXiv (abs)PDFHTML

Papers citing "Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification"

10 / 10 papers shown
Title
Revealing the Underlying Patterns: Investigating Dataset Similarity,
  Performance, and Generalization
Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization
Akshit Achara
R. Pandey
SSL
99
0
0
07 Aug 2023
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient
  Layer Aggregation Network with Learner
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner
Cheng Lu
Z. Xia
Krzysztof Przystupa
Orest Kochan
J. Su
MedIm
75
11
0
19 Apr 2023
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS
  Instance Segmentation
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
Cheng Zeng
Xinyu Yang
D. Smithard
Majid Mirmehdi
A. Gambaruto
T. Burghardt
ViT
52
6
0
22 Feb 2023
Selecting the Best Optimizers for Deep Learning based Medical Image
  Segmentation
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
Aliasghar Mortazi
V. Çiçek
Elif Keles
Ulas Bagci
57
12
0
05 Feb 2023
Hard Exudate Segmentation Supplemented by Super-Resolution with
  Multi-scale Attention Fusion Module
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module
Jiayi Zhang
Xiaoshan Chen
Zhongxi Qiu
Mingming Yang
Yan Hu
Jiang-Dong Liu
79
11
0
17 Nov 2022
Accounting for Temporal Variability in Functional Magnetic Resonance
  Imaging Improves Prediction of Intelligence
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence
Yongqian Li
Xin Ma
Rajshekhar Sunderraman
Shihao Ji
Suprateek Kundu
148
6
0
11 Nov 2022
Spatial-temporal V-Net for automatic segmentation and quantification of
  right ventricles in gated myocardial perfusion SPECT images
Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images
Chen Zhao
Shi-ming Shi
Zhuo He
Cheng Wang
Zhongqiang Zhao
Xinli Li
Yanli Zhou
Weihua Zhou
111
0
0
11 Oct 2021
Machine Learning for Cataract Classification and Grading on Ophthalmic
  Imaging Modalities: A Survey
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Xiaoqin Zhang
Yan Hu
Zunjie Xiao
Jiansheng Fang
Risa Higashita
Jiang-Dong Liu
135
41
0
09 Dec 2020
Conditional Generative Adversarial Networks for Data Augmentation and
  Adaptation in Remotely Sensed Imagery
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
J. Howe
Kyle Pula
Aaron A. Reite
GAN
83
13
0
10 Aug 2019
Unsupervised domain adaptation for medical imaging segmentation with
  self-ensembling
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
C. Perone
P. Ballester
Rodrigo C. Barros
Julien Cohen-Adad
OOD
102
209
0
14 Nov 2018
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