| 000 | 01314nam a2200313 4500 | ||
|---|---|---|---|
| 003 | NUST | ||
| 005 | 20260623175353.0 | ||
| 008 | 260623b |||||||| |||| 00| 0 eng d | ||
| 040 |
_aNUST _beng _cNUST _dNUST _erda |
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| 050 | _aR857.C55 MUT | ||
| 100 | 1 |
_aMutasa, Tatenda _eauthor |
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| 245 | 1 |
_aUse of deep learning algorithms towards dose optimization in non-contrast paediatric head CT examination : _ba phantom study / _cTatenda Mutasa. |
|
| 260 |
_aBulawayo, Zimbabwe : _bNational University of Science and Technology, _c©2023. |
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| 300 |
_axii, 65 pages : _billustrations ; _c30 cm. |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
||
| 338 |
_2rdacarrier _avolume _bnc |
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| 500 | _aA dissertation submitted in partial fulfillment of the requirements for the Bachelor of Science Honours degree in Radiography. | ||
| 501 | _00Undergraduate | ||
| 504 | _aIncludes bibliographical references. | ||
| 650 | 2 |
_aComputed tomography _xDosage optimization. |
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| 650 | 2 | _aDeep learning (Machine learning). | |
| 650 | 2 | _aArtificial intelligence in medicine. | |
| 650 | 2 | _aPediatric radiology. | |
| 650 | 2 |
_aRadiation _xSafety measures. |
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| 650 | 2 | _aPhantoms (Radiology). | |
| 700 | 1 |
_aMaguranyanga _esupervisor |
|
| 942 |
_2lcc _n0 _c3HOUR _hR857.C55 MUT _kR _mMUT |
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| 999 |
_c173157 _d173157 |
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