Your English writing platform
Discover LudwigSuggestions(2)
Exact(23)
First is the identification and classification of medical errors.
Classification of medical images is an important issue in computer-assisted diagnosis.
This chapter discusses dynamical neural network architectures for the classification of medical data.
The classification of medical data is different from general definitions due to the characteristics of medical fields.
In this paper, a classification scheme based on a one-class KPCA model ensemble has been proposed for the classification of medical images.
In this paper, a classification scheme based on a one-class kernel principle component analysis (KPCA) model ensemble has been proposed for the classification of medical images.
Similar(37)
The necessary requirements vary according to the MDD's classification of the medical device.
In this paper, we propose a joint sparse coding based SPM (JScSPM) method for the classification of color medical images.
Then, the classification of the medical system proposed in Section 3 is also reinterpreted in terms of the income or total expenditure elasticity.
Many classifications are not in line with expectations from experience, such as severe classifications of substances derived from some basic food plants or lacking classification of known medical plants or plants with sensitizing potential.
To call attention of AIS designer to this point, we have tested three distance criteria which are Euclidean distance, Manhattan distance, and hybrid similarity measure on a simple AIS for the classification of two medical dataset taken from the UCI machine learning repository.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com