| 000 | 00856nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c56815 _d56815 |
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| 040 | _cRiphah International University | ||
| 082 |
_a620 _bAQS |
||
| 100 | _aAqsa Sajjad (47590) | ||
| 245 | _aAutomated brain tumor segmentation using deep learning | ||
| 260 |
_aLahore _b(unpublished) _c2024 |
||
| 300 |
_axiii, 73 p. _b: ill. _c; 29.5 cm. _e+CD |
||
| 500 | _aIncludes bibliographical references | ||
| 500 | _aA thesis submitted in partial fulfilment of the requirement for the degree of Master of Science in Biomedical Engineering. | ||
| 500 | _aThesis supervisor: Dr. Muhammad Akmal | ||
| 502 | _aThesis (MS)--Riphah International University, 2024 | ||
| 546 | _aEnglish | ||
| 650 |
_aBiomedical Engineering _vMagnetic resonance imaging _vMedical image analysics _vDeep learning _vHealth issues _vBrain tumor _vMS-Biomedical Engineering _vRCST |
||
| 942 | _cTH | ||