Designing a machine learning and deep learning frameworks for early pancreatic disease diagnosis

By: Raddy, P. SantoshContributor(s): Chandra Shekhar M [CON]Material type: Text

TextPublication details: Bengaluru: Presidency University, 2022Description: xi, 162 pISBN: 20183CSE0016Subject(s): Machine learning | Deep learning frameworksDDC classification: 006.31 RED Online resources: Click here to access online

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Materials specified	URL	Status	Date due	Barcode
Thesis	School of Engineering	Reference	Computer Science Engineering	006.31 RED (Browse shelf(Opens below))		Link to resource	Access Restricted		T58

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Previous	006.3 MAN Amalgamation of ayurveda and evidence-based medicines with artificial intelligence and machine learning for less expensive and effective diagnosis approaches	006.3 PAL Osteoportic bone detection using soft computing methods	006.31 ALA Optimal semantic web enrichment and classification using similarity identification, NLP and machine learning approaches	006.31 RED Designing a machine learning and deep learning frameworks for early pancreatic disease diagnosis	006.312 YAS Predictive model for bipolar disorder episodes	006.4 BHA Development of secure hidden biometric template through brain structural analysis	006.4 GOW Dynamic and volumetric approach for segmentation and classification of lung CT images	Next

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