Normal view MARC view ISBD view

Automated brain tumor segmentation using deep learning

By:

Material type: Text

TextPublication details: Lahore (unpublished) 2024Description: xiii, 73 p. : ill. ; 29.5 cm. +CDSubject(s):

DDC classification:

Dissertation note: Thesis (MS)--Riphah International University, 2024

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Lahore Raiwind Campus	620 AQS (Browse shelf(Opens below))	NOT for LOAN		59601

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	619 ZOH Amelioration of polycystic ovary syndrome with veratric acid and fumaric acid in female rats	619.53 MUB Investigation of resveratrol as adjuvant ant therapy to combat chemotherapy -induced peripheral neuropathy in rats	620 ALI Band gap tuning of ultrathin MoS2 Nanomaterial	620 AQS Automated brain tumor segmentation using deep learning	620 IBR Exploring the effect of Cu doping on 2D BN3 nanostructure materials	620 KAL Performance analysis of distributed generation to improve the operation of the power system	620 MEE Artificial intelligence based classification of sparse electroencephalography signals	Next

Includes bibliographical references

A thesis submitted in partial fulfilment of the requirement for the degree of Master of Science in Biomedical Engineering.