Skin layers detection and problem identification using rcnn and ggan

By: Material type: TextTextPublication details: Islamabad 2024 (unpublished)Description: 70 p. : ill., Col. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.8 KOM
Dissertation note: Thesis (M.S)--Riphah International University, 2024
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis City Campus 005.8 KOM (Browse shelf(Opens below)) 1 NOT for LOAN 53727

Submitted in fulfillment of the requirements for the degree of Master of Science in Data Science.

Includes bibliographical references.

Thesis supervisor: Dr. Atta Ur Rahman

Thesis (M.S)--Riphah International University, 2024

English

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