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Early detection of ovarian cancer from histopathological images using deep learning models and explainable ai / Porika Rakesh.

By: Rakesh, Porika

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2024Description: x, 50pDDC classification: 004 Dissertation note: Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024 Guide / Supervisor: Sharma, Sangeeta

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library	004 RAK (Browse shelf)	Available		TH-2122

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Previous	004 RAI On scheduling transaction in grid computing using gaussian mixture model- ant colony optimization considering load	004 RAJ An approach for reducing excessive delay of distant nodes in pegasis algorithm of wireless sensor network	004 RAJ Understanding and reducing hallucinations in neural machine translation /	004 RAK Early detection of ovarian cancer from histopathological images using deep learning models and explainable ai /	004 RAM Privacy preserving data mining using k-means clustering and secret sharing	004 RAM Semantic image segmentation using generative adversarial networks	004 RAM A data aggregation algorithm for wireless sensor networks	Next

Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024

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कोहा @ रा.प्रौ.सं.ह. / KOHA @ NITH

Early detection of ovarian cancer from histopathological images using deep learning models and explainable ai / Porika Rakesh.

By: Rakesh, Porika

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