Please use this identifier to cite or link to this item:
https://elib.vku.udn.vn/handle/123456789/6406Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Huynh, Ngoc Tho | - |
| dc.contributor.author | Trinh, Thai Son | - |
| dc.date.accessioned | 2026-03-17T01:17:21Z | - |
| dc.date.available | 2026-03-17T01:17:21Z | - |
| dc.date.issued | 2025-12 | - |
| dc.identifier.uri | https://elib.vku.udn.vn/handle/123456789/6406 | - |
| dc.description | Graduation thesis of Information Technology; 2021 - 2025 | vi_VN |
| dc.language.iso | en | vi_VN |
| dc.publisher | Vietnam-Korea University of Information and Communication Technology | vi_VN |
| dc.relation.ispartofseries | KLTN;21IT045 | - |
| dc.subject | Deep Learning | vi_VN |
| dc.subject | Ultrasound Images | vi_VN |
| dc.title | Building a Deep Learning Model for Fetal Head Segmentation in Ultrasound Images | vi_VN |
| dc.title.alternative | Xây dựng mô hình học sâu để phân đoạn đầu thai nhi trong ảnh siêu âm | vi_VN |
| dc.type | Thesis | vi_VN |
| Appears in Collections: | ĐH-Ngành Công nghệ thông tin (Information Technology) | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.