Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks

19 June 2020

Papers citing "Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks"

8 / 8 papers shown

Title
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 38 7 0 02 Feb 2023
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation Dingwen Zhang Guohai Huang Qiang Zhang Jungong Han Junwei Han Yizhou Yu 16 217 0 07 Jan 2022
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos Negin Ghamsarian M. Taschwer Doris Putzgruber-Adamitsch Stephanie Sarny Y. El-Shabrawi Klaus Schoeffmann 21 8 0 25 Sep 2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation Carlos Alberto Silva Adriano Pinto Sérgio Pereira Ana P. Lopes 24 11 0 02 Jan 2021
Recalibrating 3D ConvNets with Project & Excite Anne-Marie Rickmann Abhijit Guha Roy Ignacio Sarasua Christian Wachinger 3DPC 21 17 0 25 Feb 2020
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI Sérgio Pereira Victor Alves Carlos Alberto Silva 23 46 0 06 Jun 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 307 10,621 0 19 Feb 2017