Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions

20 March 2022

Papers citing "Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions"

6 / 6 papers shown

Title
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography Lin Wang Xiufen Ye Donghao Zhang Wanji He Lie Ju ... Xin Wang Wei Feng Kaimin Song Xin Zhao Z. Ge 3DV 16 1 0 11 Oct 2022
3D Matting: A Soft Segmentation Method Applied in Computed Tomography Lin Wang Xiufen Ye Donghao Zhang Wanji He Lie Ju Xin Wang Wei Feng Kaimin Song Xin Zhao Z. Ge 3DV 6 0 0 16 Sep 2022
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 72 60 0 27 Apr 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 962 0 13 Dec 2020
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 243 1,817 0 18 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015