Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer
Segmentation in Whole-slide Images

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

29 July 2018

Michael C. Kampffmeyer

Xiaodan Liang

Papers citing "Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images"

8 / 8 papers shown

Title
Efficient High-Resolution Deep Learning: A Survey Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis MedIm 21 19 0 26 Jul 2022
Trusted Multi-Scale Classification Framework for Whole Slide Image Ming Feng Kele Xu Na Wu Weiquan Huang Yan Bai Changjian Wang Huaimin Wang 37 5 0 12 Jul 2022
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound Ruilong Dan Yunxiang Li Yijie Wang Gangyong Jia Ruiquan Ge Juan Ye Qun Jin Yaqi Wang 28 8 0 17 Jun 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images Kevin Thandiackal Boqi Chen Pushpak Pati Guillaume Jaume Drew F. K. Williamson M. Gabrani O. Goksel 20 43 0 26 Apr 2022
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches Chen Li Xintong Li M. Rahaman Xirong Li Hongzan Sun ... Yong Zhang Xiaoqi Li Jian Wu Yudong Yao M. Grzegorzek 35 191 0 21 Feb 2021
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning David Tellez D. Höppener Cornelis Verhoef D. Grünhagen Pieter M H Nierop M. Drozdzal Jeroen van der Laak F. Ciompi MedIm 25 31 0 15 Apr 2020
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images H. Pinckaers Bram van Ginneken G. Litjens MedIm 27 94 0 11 Nov 2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer H. Le Rajarsi R. Gupta L. Hou Shahira Abousamra Danielle Fassler ... A. Dyke Ashish Sharma Erich Bremer Jonas S. Almeida Joel H. Saltz 13 94 0 26 May 2019