A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling

22 May 2015

Papers citing "A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling"

6 / 6 papers shown

Title
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu Peter Stone Yuke Zhu 45 61 0 28 Sep 2021
Region-Manipulated Fusion Networks for Pancreatitis Recognition Jian Wang Xiaoyao Li Xiangbo Shu Wei-qiang Li MedIm 27 2 0 03 Jul 2019
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks Ningning Zhao Nuo Tong Dan Ruan K. Sheng SSeg MedIm 23 52 0 05 Jun 2019
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function Jinzheng Cai Le Lu Yuanpu Xie Fuyong Xing L. Yang MedIm SSeg 35 132 0 16 Jul 2017
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 334 10,621 0 19 Feb 2017
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation H. Roth Le Lu Nathan S. Lay Adam P. Harrison A. Farag Andrew Sohn Ronald M. Summers 31 285 0 31 Jan 2017