Work

On Supporting Cancer Grading Based on Histological Slides Using a Limited Number of Features

Year: 2018

Type: article

Abstract: A computer assisted cancer diagnosis approach based on histopathological images is outlined in the current study. It mainly detects the lighter components that appear in each slide and computes simple morphological features for them, as well as basic statistic about these. This relatively short numerical data set is subsequently fed to a classifier for learning the correspondence between the features and their classes. The classification accuracy reaches outputs similar to other more complex methodologies and therefore encourages future investigation.

Source: Annals of the University of Craiova Mathematics and Computer Science Series

DOI: 10.52846/ami.v45i1.1059

Authors: Dumitru Bogdan Mateis Boruz, Cătălin Stoean

Institution: University of Craiova

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2947660042

FWCI: 0.121

Cites: 19

Cited by: 8

Related to: 10