| 000 | 01012nam a22003137a 4500 | ||
|---|---|---|---|
| 003 | IIITD | ||
| 005 | 20221205175856.0 | ||
| 008 | 220521b xxu||||| |||| 00| 0 eng d | ||
| 040 | _aIIITD | ||
| 082 | _aREF ECE 2022 | ||
| 100 | _aGehlot, Shiv | ||
| 245 |
_aDeep learning assisted methods for microscopic blood Cancer imaging analysis _cby Shiv Gehlot, Anubha Gupta (Advisor) |
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| 260 |
_aNew Delhi : _bIIIT-Delhi, _c©2022 |
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| 300 |
_axxii, 139 p. : _bill. ; _c29 cm. |
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| 500 | _aThis thesis includes bibliographical references | ||
| 650 | _aDeep learning | ||
| 650 | _aAI in cancer diagnosis | ||
| 650 | _aAffordable AI in healthcare | ||
| 650 | _aMicroscopic images | ||
| 650 | _aStain normalization | ||
| 650 | _aNuclei segmentation | ||
| 650 | _aCell classification | ||
| 650 | _aALL diagnosis | ||
| 650 | _aMM diagnosis | ||
| 650 | _aProjection loss | ||
| 700 |
_aGupta, Anubha _eAdvisor |
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| 856 | _uhttps://shodhganga.inflibnet.ac.in/handle/10603/421233 | ||
| 942 |
_2ddc _cTH |
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| 999 |
_c157303 _d157303 |
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