Detection of sickle cell anemia using image processing and machine learning techniques
Material type:
TextPublication details: Lahore (unpublished) 2022Description: xi, 43 p. : ill. ; 29.3 cm. +CDSubject(s): DDC classification: - 006.4 SAJ
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
Thesis
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Lahore Raiwind Campus | 006.4 HAF (Browse shelf(Opens below)) | Not for loan | 59781 |
Submitted in fulfillment of the requirements for the degree of Master of Science to the Faculty of electrical engineering
Includes bibliographical references
Thesis supervisor: Engr Ishfaq Ahmad
Thesis (MS)--Riphah International University, 2022
Registration no:F20C14G32016
English
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