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GRAPHICAL USER INTERFACE FOR DETECTING MALIGNANCY IN THYROID NODULE USING HYBRID CONVOLUTIONAL NEURAL NETWORK

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GRAPHICAL USER INTERFACE FOR DETECTING MALIGNANCY IN THYROID NODULE USING HYBRID CONVOLUTIONAL NEURAL NETWORK

ORDINARY APPLICATION

Published

date

Filed on 6 July 2023

Patent Information

Application ID202311045440
Date of Application06/07/2023

Documents

NameDate
202311045440-FORM 18 [10-10-2023(online)].pdf10/10/2023
202311045440-COMPLETE SPECIFICATION [06-07-2023(online)].pdf06/07/2023
202311045440-DECLARATION OF INVENTORSHIP (FORM 5) [06-07-2023(online)].pdf06/07/2023
202311045440-DRAWINGS [06-07-2023(online)].pdf06/07/2023
202311045440-EDUCATIONAL INSTITUTION(S) [06-07-2023(online)].pdf06/07/2023
202311045440-EVIDENCE FOR REGISTRATION UNDER SSI [06-07-2023(online)].pdf06/07/2023
202311045440-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [06-07-2023(online)].pdf06/07/2023
202311045440-FIGURE OF ABSTRACT [06-07-2023(online)].pdf06/07/2023
202311045440-FORM 1 [06-07-2023(online)].pdf06/07/2023
202311045440-FORM FOR SMALL ENTITY(FORM-28) [06-07-2023(online)].pdf06/07/2023
202311045440-FORM-9 [06-07-2023(online)].pdf06/07/2023
202311045440-POWER OF AUTHORITY [06-07-2023(online)].pdf06/07/2023
202311045440-REQUEST FOR EARLY PUBLICATION(FORM-9) [06-07-2023(online)].pdf06/07/2023

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