dc.contributor.author | China, Debarghya | |
dc.date.accessioned | 2022-04-05T07:07:34Z | |
dc.date.available | 2022-04-05T07:07:34Z | |
dc.date.issued | 2019-08 | |
dc.identifier.govdoc | NB16476 | |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10835 | |
dc.language.iso | en | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Adversarial learning | en_US |
dc.subject | Deep convolutional neural networks | en_US |
dc.subject | Iterative random walks | en_US |
dc.subject | Random forest | en_US |
dc.subject | Ultrasound segmentation | en_US |
dc.title | Shallow to Deep Machine Learning Algorithms for Anatomical Structure Segmentation in Clinical Ultrasound and Their Application to High Density Compression | en_US |
dc.type | Thesis | en_US |