Work

Radiomics-based classification in imbalanced datasets: complexity or interpretability

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI: 10.1109/bibm62325.2024.10821807

Authors: Simone Boesso, Lorenzo Farina, Manuela Petti

Institution: Sapienza University of Rome

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406260679

FWCI: 3.071

Cites: 13

Cited by: 2

Related to: 10