A methodology for glaucoma disease detection using deep learning techniques [MS Data Sciences] / (Record no. 119760)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00669nam a22001817a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20201109111355.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190116b ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | TP 006.42617741 |
| Item number | FAT-M |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Fatima Ghani |
| 245 ## - TITLE STATEMENT | |
| Title | A methodology for glaucoma disease detection using deep learning techniques [MS Data Sciences] / |
| Statement of responsibility, etc | by Fatima Ghani |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Lahore : |
| Name of publisher, distributor, etc | UMT. School of Business and Economics, |
| Date of publication, distribution, etc | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 48+21 p. |
| Accompanying material | CD |
| 500 ## - GENERAL NOTE | |
| General note | Report presented in partial requirement for MS degree in Data Sciences<br/>Advisor :Mian Usman Sattar |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | School of Business and Economics |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Theses and Term Papers |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2020-11-09 | TP 006.42617741 FAT-M | 135356 | 2020-11-09 | 2020-11-09 | Theses and Term Papers |
