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Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network / Junaid Ali Ali. [Thesis or Dissertation]

By:

Ali, Junaid Ali [SP18-RCS-028/ISB]

Material type: Text

TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2020.Description: xiv, 54 pages : color illustrations ; 30 cm + 1 DVD-ROM (4 3/4 in.)Subject(s):

Genre/Form:

Computer Science

DDC classification:

510 ALI-E

Other classification:

510 ALI-E

Dissertation note: A Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS Computer Science.External Examiner: Asif Ullah Khan, Dr. Prof, Computer Science, PIEAS, Nilore Islamabad. COMSATS University Islamabad

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Holdings
Item type	Current library	Collection	Call number	URL	Copy number	Status	Notes	Date due	Barcode	Item holds
Thesis or Dissertation	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 510 ALI-E 10598 (Browse shelf(Opens below))	Link to resource	1	Available	A Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS Computer Science.External Examiner: Asif Ullah Khan, Dr. Prof, Computer Science, PIEAS, Nilore Islamabad.		10001TP0010598
Visual Materials/CDs/DVDs	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 510 ALI-E 10598 (Browse shelf(Opens below))	Link to resource	1	Not for loan	A Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS Computer Science.External Examiner: Asif Ullah Khan, Dr. Prof, Computer Science, PIEAS, Nilore Islamabad.		TP0010598

Total holds: 0

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Previous	T 510 ALI-A 12105 A fractional modelling of influenza a virus /	T 510 ALI-A 12105 A fractional modelling of influenza a virus /	T 510 ALI-E 10598 Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network /	T 510 ALI-E 10598 Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network /	T 510 ALI-E 11391 Exact and multiple solitons with conservation laws for nonlinear schrodinger equations /	T 510 ALI-H 11609 Heart attack prediction using statistical distribution and machine learning classifiers algorithms /	T 510 ALI-N 12210 Numerical analysis of fluid forces reduction of flow past rectangular cylinder of different aspect ratios /	Next

A Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS Computer Science.External Examiner: Asif Ullah Khan, Dr. Prof, Computer Science, PIEAS, Nilore Islamabad. COMSATS University Islamabad

MS Computer Science.External Examiner: Asif Ullah Khan, Dr. Prof, Computer Science, PIEAS, Nilore Islamabad.

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