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  4. Shallow to Deep Machine Learning Algorithms for Anatomical Structure Segmentation in Clinical Ultrasound and Their Application to High Density Compression
Please use this identifier to cite or link to this item: http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10835
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dc.contributor.authorChina, Debarghya-
dc.date.accessioned2022-04-05T07:07:34Z-
dc.date.available2022-04-05T07:07:34Z-
dc.date.issued2019-08-
dc.identifier.govdocNB16476-
dc.identifier.urihttp://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10835-
dc.language.isoenen_US
dc.publisherIIT Kharagpuren_US
dc.subjectAdversarial learningen_US
dc.subjectDeep convolutional neural networksen_US
dc.subjectIterative random walksen_US
dc.subjectRandom foresten_US
dc.subjectUltrasound segmentationen_US
dc.titleShallow to Deep Machine Learning Algorithms for Anatomical Structure Segmentation in Clinical Ultrasound and Their Application to High Density Compressionen_US
dc.typeThesisen_US
Appears in Collections:Shallow to Deep Machine Learning Algorithms for Anatomical Structure Segmentation in Clinical Ultrasound and Their Application to High Density Compression

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