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cs.CV2022
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs
Gunhee Nam, Taesoo Kim, Sanghyup Lee +1
The accurate localization of inserted medical tubes and parts of human anatomy is a common problem when analyzing chest radiographs and something deep neural networks could potenti…
cs.CV2022
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs
Tae Soo Kim, Geonwoon Jang, Sanghyup Lee +1
As deep networks require large amounts of accurately labeled training data, a strategy to collect sufficiently large and accurate annotations is as important as innovations in reco…
eess.IV2022
Tutorial on the development of AI models for medical image analysis
Thijs Kooi
The idea of using computers to read medical scans was introduced as early as 1966. However, limits to machine learning technology meant progress was slow initially. The Alexnet bre…