Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation

19 May 2022

Papers citing "Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation"

2 / 2 papers shown

Title
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 11 4 0 30 Sep 2021
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation Zhanwei Xu Yukun Cao Cheng Jin Guozhu Shao Xiaoqing Liu Jie Zhou Heshui Shi Jianjiang Feng MedIm 17 25 0 19 Oct 2020