Nature

Pattern classification of endocervical adenocarcinoma: reproducibility and review of criteria

Previously, our international team proposed a three-tiered pattern classification (Pattern Classification) system for endocervical adenocarcinoma of the usual type that correlates with nodal disease ...
Nature

Pattern-based classification of invasive endocervical adenocarcinoma, depth of invasion measurement and distinction from adenocarcinoma in situ: interobserver variation among ...

Staging of early (International Federation of Gynecology and Obstetrics (FIGO) stage I) invasive endocervical adenocarcinoma is currently based on the measurement of tumor width and depth of invasion ...
Frontiers

Medical pattern classification using a novel binary similarity approach based on an associative classifier

Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...