Synthetic Data-Based Algorithm Selection for Medical Image Classification Under Limited Data Availability

The Algorithm selection approach improves performance by dynamically choosing the optimal Algorithm for each input instance. While this selection strategy has been extensively studied, the amount of data and their nature have not yet been investigated with respect to meta-learning, particularly in s...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Maxim Zhabinets, Benjamin Tyler, Martin Lukac, Shinobu Nagayama, Ferdinand Molnár, Michitaka Kameyama
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-05-01
Sarja:	Algorithms
Aiheet:	algorithm selection medical image classification synthetic data GAN
Linkit:	https://www.mdpi.com/1999-4893/18/6/310
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