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RESPIRATORY DISEASE DIAGNOSIS SYSTEM

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RESPIRATORY DISEASE DIAGNOSIS SYSTEM

ORDINARY APPLICATION

Published

date

Filed on 30 October 2024

Abstract

ABSTRACT A respiratory disease diagnosis system (100), comprising a computing unit (102) configured to collect plurality of scan images, a database (104) communicatively coupled to the computing unit (102) to store the plurality of scan images and a processor (106) communicatively coupled to the computing unit (102) and the database (104). The processor (106) comprises an adaptive image classification module (108) for classification of the plurality of scan images to diagnose a positive diagnosis or a negative diagnosis. The respiratory disease diagnosis system (100) further comprises a user interface (110) installed within the computing unit (102) to display each of the plurality of scan images classified as the positive diagnosis or the negative diagnosis. <>

Patent Information

Application ID202411083156
Invention FieldCOMPUTER SCIENCE
Date of Application30/10/2024
Publication Number46/2024

Inventors

NameAddressCountryNationality
GOUTAM ABROLLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
KARTIK SHARMALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
PRINCE KUMAR DAVIDLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
Mr. ANSHU VASHISTHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a disease diagnosis system and in particular relates to a respiratory disease diagnosis system.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Respiratory diseases, particularly those caused by viral infections, present a significant global health challenge due to their contagious nature and potential to cause severe health complications. Accurate and timely diagnosis is crucial in managing the spread of such diseases and providing prompt trea , Claims:1. A respiratory disease diagnosis system (100), comprising:
a computing unit (102) configured to collect plurality of scan images;
a database (104) communicatively coupled to the computing unit (102), wherein the database (104) is configured to store the plurality of scan images;
a processor (106) communicatively coupled to the computing unit (102) and the database (104), wherein the processor (106) comprises:
an adaptive image classification module (108) for classification of the plurality of scan images to diagnose a positive diagnosis or a negative diagnosis, wherein
the adaptive image classification module (108) is optimized based on the plurality of scan images classified as the positive diagnosis or the negative diagnosis; and
a user interface (110) installed within the computing unit (102) to display each of the plurality of scan images classified as the positive diagnosis or the negative diagnosis.

2. The respiratory disease diagnosis system (100) as claimed in claim 1, wherein the plurality of sca

Documents

NameDate
202411083156-COMPLETE SPECIFICATION [30-10-2024(online)].pdf30/10/2024
202411083156-DECLARATION OF INVENTORSHIP (FORM 5) [30-10-2024(online)].pdf30/10/2024
202411083156-DRAWINGS [30-10-2024(online)].pdf30/10/2024
202411083156-FIGURE OF ABSTRACT [30-10-2024(online)].pdf30/10/2024
202411083156-FORM 1 [30-10-2024(online)].pdf30/10/2024
202411083156-FORM-9 [30-10-2024(online)].pdf30/10/2024
202411083156-POWER OF AUTHORITY [30-10-2024(online)].pdf30/10/2024
202411083156-PROOF OF RIGHT [30-10-2024(online)].pdf30/10/2024
202411083156-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-10-2024(online)].pdf30/10/2024

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