Skin cancer detection using empowered with transfer learning

By: Material type: TextTextPublication details: Lahore 2022 Riphah International University Description: xii, 40 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 004 HAS
Dissertation note: Thesis (MS)--Riphah International University, 2022
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Item type Current library Call number Status Date due Barcode
Thesis Thesis Lahore Raiwind Campus 004 HAS (Browse shelf(Opens below)) Not for loan 59697

Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing.

Includes bibliographic references.

Thesis Supervisor: Dr. Muhammad Tahir Naseem

Thesis (MS)--Riphah International University, 2022

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