Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

20 February 2018

Papers citing "Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation"

7 / 57 papers shown

Title
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases Md. Zahangir Alom Theus H. Aspiras T. Taha V. Asari T. Bowen D. Billiter Simon Arkell 17 32 0 19 Apr 2019
From Dark Matter to Galaxies with Convolutional Networks Xinyue Zhang Yanfang Wang Wei Zhang Yueqiu Sun Siyu He Gabriella Contardo F. Villaescusa-Navarro S. Ho OOD 14 43 0 15 Feb 2019
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation Chaitanya Kaul S. Manandhar Nick E. Pears SSeg 17 129 0 08 Feb 2019
LadderNet: Multi-path networks based on U-Net for medical image segmentation Juntang Zhuang SSeg MedIm 18 228 0 17 Oct 2018
Unsupervised learning of the brain connectivity dynamic using residual D-net Youngjoo Seo Manuel Morante Y. Kopsinis Sergios Theodoridis 13 4 0 20 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 26 873 0 03 Mar 2018
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 280 10,613 0 19 Feb 2017