Automated brain tumor segmentation using deep learning (Record no. 56815)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00856nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 620 |
| Author Mark | AQS |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Aqsa Sajjad (47590) |
| 245 ## - TITLE STATEMENT | |
| Title | Automated brain tumor segmentation using deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Lahore |
| Name of publisher | (unpublished) |
| Date of publication | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 73 p. |
| Illustrations | : ill. |
| Dimensions | ; 29.5 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfilment of the requirement for the degree of Master of Science in Biomedical Engineering. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Muhammad Akmal |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2024 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Biomedical Engineering |
| Keywords | Magnetic resonance imaging |
| -- | Medical image analysics |
| -- | Deep learning |
| -- | Health issues |
| -- | Brain tumor |
| -- | MS-Biomedical Engineering |
| -- | RCST |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|
| NOT for LOAN | Lahore Raiwind Campus | Lahore Raiwind Campus | 620 AQS | 59601 | Thesis |