Work

A Novel Mask R-CNN based generated mask approach for the detection and classification of lung cancer in CT images

Year: 2024

Type: conference-paper

Abstract: Background: The integration of computer vision systems has the potential to revolutionize various medical disciplines, particularly those reliant on diagnostic imaging. These systems are instrumental in diagnosing numerous medical conditions, including fractured bones, lung cancer, and heart diseases. Lung cancer, which ranks among the top four causes of mortality worldwide, presents significant challenges in accurate diagnosis. The complexity of lung regions in computed tomography (CT) images often necessitates manual delineation, which is time-consuming and prone to variability. Automated methods for lung segmentation can enhance clinical workflows and improve diagnostic accuracy, addressing this critical gap.

Source: International Conference on Information Management & Machine Intelligence (ICIMMI)

DOI: 10.1145/3745812.3745890

Authors: Ebtasam Ahmad Siddiqui, Uday Pratap Singh, Dinesh Goyal, Adil Tanveer

Institutions: Poornima Institute of Engineering and Technology, National Institute of Technology Raipur

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: hybrid

OpenAlex ID: W4413915573

FWCI:

Cites: 12

Cited by:

Related to: 10