Work

A Novel CAD Framework with Visual and Textual Interpretability: Multimodal Insights for Predicting Respiratory Diseases

Year: 2024

Type: conference-paper

Source: International Artificial Intelligence and Data Processing Symposium (IDAP)

DOI: 10.1109/idap64064.2024.10710824

Authors: Raza Mukhlis, Saied Salem, Hyunwook Kwon, Jamil Hussain, Ahmet Arif Aydin, Mugahed A. Al-Antari

Institutions: Sejong University, Inonu University

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Research Foundation of Korea

OpenAlex ID: W4403446752

FWCI: 1.176

Cites: 16

Cited by: 4

Related to: 10