Fetal Organ Segmentation and Classification in Ultrasound Images using Deep Learning Techniques
| dc.contributor.guide | Jain, Shikha and Vidyarthi, Ankit | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Srivastava, Somya | |
| dc.date.accessioned | 2024-11-20T09:14:10Z | |
| dc.date.available | 2024-11-20T09:14:10Z | |
| dc.date.awarded | 2024 | |
| dc.date.completed | 2024 | |
| dc.date.registered | 2019 | |
| dc.description.abstract | included newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | xx, 202p.Synopsis-27p. | |
| dc.identifier.uri | http://hdl.handle.net/10603/601959 | |
| dc.language | English | |
| dc.publisher.institution | Department of Computer Science Engineering and Information Technology | |
| dc.publisher.place | Noida | |
| dc.publisher.university | Jaypee Institute of Information Technology | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science and Engineering and Information Technology | |
| dc.subject.keyword | Deep learning | |
| dc.subject.keyword | Encoder-decoder | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Fetal growth | |
| dc.subject.keyword | Image classification | |
| dc.subject.keyword | Image segmentation | |
| dc.subject.keyword | Neural network | |
| dc.subject.keyword | Ultrasound images | |
| dc.title | Fetal Organ Segmentation and Classification in Ultrasound Images using Deep Learning Techniques | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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