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

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

9 / 9 papers shown

Title
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 37 11 0 17 Nov 2022
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery J. Howe Kyle Pula Aaron A. Reite GAN 29 13 0 10 Aug 2019
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 278 10,608 0 19 Feb 2017
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 155 174 0 04 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,173 0 16 Sep 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,892 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 215 7,902 0 13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,633 0 03 Jul 2012