Document Information
Name: COMPUTER-AIDED DETECTION OF THEENDOMETRIAL LESIONS IN HYSTERO-SCOPIC IMAGING USING DEEP LEARNING
Owner: Andry Michaelidou
Used disk space: 6.46 MiB
Created: 2026-06-15 12:11:22
Categories: ΑΔΕ
Επιβλέπων Καθηγητής/τρια: Παττίχης Κωνσταντίνος
Συγγραφέας: Arestis Konstantinou
Τίτλος: COMPUTER-AIDED DETECTION OF THEENDOMETRIAL LESIONS IN HYSTERO-SCOPIC IMAGING USING DEEP LEARNING
Χρονιά: 2026
Preview
File Comment Status
  • Arestis_Konstantinou_thesis_final.pdf
  • Version: 2
  • 6.46 MiB, application/pdf
  • Uploaded by Andry Michaelidou
  • 2026-06-15 12:11:23
Released
    No attached files
    This is a classified area. Access is permitted only to authorized personnel. Any violation will be prosecuted according to the national and international laws.
    SeedDMS free document management system - www.seeddms.org - please donate if you like SeedDMS!