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Detection and classification of diseases on CT-Scan images using multi-branches sustainable convolutional neural network with resnet-50 / Maria Naz. [Thesis or Dissertation]

By:

Naz, Maria [FA19-RCS-033/ISB]

Material type: Text

TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2021.Description: xiii, 85 pages : color illustrations ; 30 cm + 1 DVD-ROM (4 3/4 in.)Subject(s):

Genre/Form:

Computer Science

DDC classification:

004 NAZ-D

Other classification:

004 NAZ-D

Dissertation note: COMSATS University Islamabad

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Holdings
Item type	Current library	Collection	Call number	URL	Copy number	Status	Date due	Barcode	Item holds
Thesis or Dissertation	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 004 NAZ-D 11537 (Browse shelf(Opens below))	Link to resource	1	Available		10001TP0011537

Total holds: 0

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Previous	T 004 NAW-M 11302 MDVA-GAN multi-domain visual attribution generative adversarial networks /	T 004 NAY-A 10039 A performance centric cloudlet federation paradigm for resource optimization /	T 004 NAY-A 10039 A performance centric cloudlet federation paradigm for resource optimization /	T 004 NAZ-D 11537 Detection and classification of diseases on CT-Scan images using multi-branches sustainable convolutional neural network with resnet-50 /	T 004 NAZ-E 11526 Electricity forecasting for efficient energy management in smart grid /	T 004 NAZ-G 10100 Generative adversarial networks for enhancing low dose CT scan /	T 004 NIA-A 8737 A hypervisor-based game theoretic intrusion detection system for cloud infrastructure /	Next

COMSATS University Islamabad

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