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AN AUTOMATED COMPUTER VISION-BASED SYSTEM AND METHOD FOR DETECTION OF TUBERCULOSIS

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AN AUTOMATED COMPUTER VISION-BASED SYSTEM AND METHOD FOR DETECTION OF TUBERCULOSIS

ORDINARY APPLICATION

Published

date

Filed on 25 November 2024

Abstract

ABSTRACT AN AUTOMATED COMPUTER VISION-BASED SYSTEM AND METHOD FOR DETECTION OF TUBERCULOSIS An automated computer vision-based system and method for detection of tuberculosis includes a network based devices, a server, a network and one or more processors. A data pre-processing unit is configured to process a captured one or more input smear microscopy sputum sample images received from a source machine. A data annotation unit is configured for annotation of received sputum smear microscopy sample images through labelImg 1.4.0 tool. YOLOv7_Lite architecture or model is designed as channel-pruned and scaled-down version that employs SiLU activation, being configured to adjust the depth and to reduce width of the model to enhance detection accuracy of diverse range of features related to bacilli from the received annotated microscopy sputum sample images of tuberculosis and communicating to destination device. The YOLOv7_Lite is computationally lighter deep convolutional model designed or tailored for integration into memory-constrained edge devices and reduction in size is achieved through compound scaling approach.

Patent Information

Application ID202441091694
Invention FieldCOMPUTER SCIENCE
Date of Application25/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
NAGARAJU YRESEARCH SCHOLAR, DEPARTMENT OF CSE, UNIVERSITY OF VISVESVARAYA COLLEGE OF ENGINEERING, BANGALORE – 560001, KARNATAKAIndiaIndia
DR. VENKATESHASSOCIATE PROFESSOR, DEPARTMENT OF CSE, UNIVERSITY OF VISVESVARAYA COLLEGE OF ENGINEERING, BANGALORE – 560001, KARNATAKAIndiaIndia
DR. SATISH BASAVARAJ BASAPURASSISTANT PROFESSOR, DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING, DR. AMBEDKAR INSTITUTE OF TECHNOLOGY, BANGALORE- 560056, KARNATAKAIndiaIndia

Applicants

NameAddressCountryNationality
NAGARAJU YRESEARCH SCHOLAR, DEPARTMENT OF CSE, UNIVERSITY OF VISVESVARAYA COLLEGE OF ENGINEERING, BANGALORE – 560001, KARNATAKAIndiaIndia
DR. VENKATESHASSOCIATE PROFESSOR, DEPARTMENT OF CSE, UNIVERSITY OF VISVESVARAYA COLLEGE OF ENGINEERING, BANGALORE – 560001, KARNATAKAIndiaIndia
DR. SATISH BASAVARAJ BASAPURASSISTANT PROFESSOR, DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING, DR. AMBEDKAR INSTITUTE OF TECHNOLOGY, BANGALORE- 560056, KARNATAKAIndiaIndia

Specification

Description:Attached Separately , Claims:Attached Separately

Documents

NameDate
202441091694-FORM-26 [03-12-2024(online)].pdf03/12/2024
202441091694-Affidavit from Inventor [02-12-2024(online)].pdf02/12/2024
202441091694-Evidence u-s 31(d) [02-12-2024(online)].pdf02/12/2024
202441091694-FORM-31 [02-12-2024(online)].pdf02/12/2024
202441091694-COMPLETE SPECIFICATION [25-11-2024(online)].pdf25/11/2024
202441091694-DECLARATION OF INVENTORSHIP (FORM 5) [25-11-2024(online)].pdf25/11/2024
202441091694-DRAWINGS [25-11-2024(online)].pdf25/11/2024
202441091694-FIGURE OF ABSTRACT [25-11-2024(online)].pdf25/11/2024
202441091694-FORM 1 [25-11-2024(online)].pdf25/11/2024
202441091694-FORM-9 [25-11-2024(online)].pdf25/11/2024
202441091694-POWER OF AUTHORITY [25-11-2024(online)].pdf25/11/2024

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