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20192023
most citedLight In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation

1 citations · 2 across the 4 of their papers we have counts for

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eess.IV2023★ 1 cited

DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem

Bruno A. Krinski, Daniel V. Ruiz, Rayson Laroca +1

Due to the COVID-19 global pandemic, computer-assisted diagnoses of medical images have gained much attention, and robust methods of semantic segmentation of Computed Tomography (C…

eess.IV2021

Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation

Bruno A. Krinski, Daniel V. Ruiz, Eduardo Todt

With the COVID-19 global pandemic, computerassisted diagnoses of medical images have gained a lot of attention, and robust methods of Semantic Segmentation of Computed Tomography (…