Domain adaptive models for multi class brain abnormality classification (Record no. 4936)

MARC details
082 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Classification number ENG
245 ## - TITLE STATEMENT
Title Domain adaptive models for multi class brain abnormality classification
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc IIITDM Kancheepuram
Year of awarded August 2023
300 ## - PHYSICAL DESCRIPTION
Extent 162p.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Theses and Dissertations
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Isunuri B Venkateswarlu
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
-- Computer Science
502 ## - Theses and Dissertation note
Theses and Dissertation note Domain adaptive models
520 ## - Abstract
Summary, etc Brain tumors are segregated by WHO into four grades depending on the severity of tumor.
653 ## - Keywords
terms Brain tumor type classification; Brain tumor grade Classification; alzheimer's severity level classification; Pre trained efficientnet; separable convolution based neural network; mixed convolution with support vector classifier; multi path convolution with multihead attention; dual residual separable convolution.
700 ## - ADDED ENTRY--PERSONAL NAME
Research Supervisor Dr. Jagadeesh Kakarla
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Price Currency Acq Date Vendor Order No Order Date Bill No Bill Date Mode Price In Rs Discount Mis Chrg Requested By Issue Coded location qualifier
    Universal Decimal Classification     IIITDM Kancheepuram Library IIITDM Kancheepuram Library Theses and Dissertation 06/10/2023   004 ISU | TD00577 06/10/2023 06/10/2023 Theses and Dissertations                              

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