DSpace JSPUI
DSpace preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10835| Title: | Shallow to Deep Machine Learning Algorithms for Anatomical Structure Segmentation in Clinical Ultrasound and Their Application to High Density Compression |
| Authors: | China, Debarghya |
| Keywords: | Adversarial learning Deep convolutional neural networks Iterative random walks Random forest Ultrasound segmentation |
| Issue Date: | Aug-2019 |
| Publisher: | IIT Kharagpur |
| Gov't Doc #: | NB16476 |
| URI: | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/10835 |
| Appears in Collections: | Shallow to Deep Machine Learning Algorithms for Anatomical Structure Segmentation in Clinical Ultrasound and Their Application to High Density Compression |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NB16476_Abstract.pdf | 74.73 kB | Adobe PDF | View/Open | |
| NB16476_Thesis.pdf Restricted Access | 47.11 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.