Challenges drive the state-of-the-art of automated medical image analysi...
Background and objective: COVID-19 and its variants have caused signific...
Purpose: Considering several patients screened due to COVID-19 pandemic,...
Self-supervised learning has developed rapidly and also advances
compute...
Dataset complexity assessment aims to predict classification performance...
Background and objective: Sharing of medical data is required to enable ...
The acquisition of advanced models relies on large datasets in many fiel...
Sharing medical datasets between hospitals is challenging because of the...
This paper proposes a novel self-supervised learning method for learning...
The global outbreak of the Coronavirus 2019 (COVID-19) has overloaded
wo...
Human taste sensation can be qualitatively described with surface
electr...
Silent Speech Decoding (SSD) based on Surface electromyography (sEMG) ha...
We propose a novel self-supervised learning method for medical image
ana...
This paper presents a soft-label anonymous gastric X-ray image distillat...
Electronic nose proves its effectiveness in alternativeherbal medicine
c...
The continual proliferation of mobile devices has encouraged much effort...
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread
...
In manufacture, steel and other metals are mainly cut and shaped during ...
Computed tomography (CT) is a popular medical imaging modality for scree...