DEEP LEARNING BASED MODEL FOR DIABETIC RETINOPATHY CLASSIFICATION USING FUNDUS IMAGES

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Material type: Text

TextLanguage: English Publication details: 2023Description: 70pDDC classification:

Dissertation note: THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

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Item type	Current library	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Thesis & Dissertations	Central Library, NIT Jalandhar	Central Library, NIT Jalandhar	Reference	005 SA-D (Browse shelf(Opens below))		Available		ETS/CSE/2023/277

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Previous	005 RA-E Enhanced threshold proxy signature scheme based on RSA for known signers	005 RA-E ESTIMATION OF REFERENCE EVAPOTRANSPIRATION ON DAILY AND HOURLY SCALES	005 SA-C CLASSIFICATION OF MSTAR FOR TARGET RECOGNITION USING VISION TRANSFORMER ON SAR IMAGES	005 SA-D DEEP LEARNING BASED MODEL FOR DIABETIC RETINOPATHY CLASSIFICATION USING FUNDUS IMAGES	005 SA-D DEPRESSION PREDICTION USING DATA MINING AND STATISTICAL TECHNIQUES	005 SH-D Design of efficient lightweight digital forensics investigation model for IoT device	005 SH-R Reliable information dissemination in heterogeneous vehicular networks.	Next

THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING