IJRMST
Typically replies within an hour

IJRMST
Hi there

How can I help you?
Chat with Us

Employability of Deep Learning Tools and Techniques for an Early Detection and Diagnosis of Pulmonary Infection

Sakshi Loura

Vol. 13, Issue 1, Jan-Jun 2022

Abstract:

Chest x-ray imaging is an essential screening and medication device for some life-threatening infections; nonetheless, the screening instrument can't treat all patients due to the lack of radiologists. In this research, we are identifying 14 different types of chest infections from chest x-ray images. The task's key objective is to know the level of infection recognition of every 14 tests performed on the human chest with the most superior accuracy. Deep learning-based, typically medical picture classifiers, is one expected response. It likewise ignores the attire and jewels present on the human body while going through the x-ray test, giving us the most powerful accuracy of disease recognition. This experience runs, transfers, techniques, and creates reports with precision at some random reason of your experience.

DOI: http://doi.org/10.37648/ijrmst.v13i01.012

Back Download

Disclaimer: Indexing of published papers is subject to the evaluation and acceptance criteria of the respective indexing agencies. While we strive to maintain high academic and editorial standards, International Journal of Research in Medical Sciences and Technology does not guarantee the indexing of any published paper. Acceptance and inclusion in indexing databases are determined by the quality, originality, and relevance of the paper, and are at the sole discretion of the indexing bodies.