Automated localization and segmentation of aortic valve using deep learning approach for echocardiography /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2021.
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| Subjects: | |
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| LEADER | 01743nam a2200409 i 4500 | ||
|---|---|---|---|
| 001 | u1151014 | ||
| 003 | SIRSI | ||
| 005 | 202112071242 | ||
| 008 | 211207s2021 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |d AUM |e rda | ||
| 090 | |a R856.4 |b UMP 2021 Muhhan | ||
| 097 | |a R856.4 |b UMP 2021 Muhhan | ||
| 100 | 0 | |a Muhammad Hanif Ahmad Nizar, |e author. | |
| 245 | 1 | 0 | |a Automated localization and segmentation of aortic valve using deep learning approach for echocardiography / |c Muhammad Hanif bin Ahmad Nizar. |
| 264 | 1 | |c 2021. | |
| 300 | |a xix, 125 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc2rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kejuruteraan Bioperubatan, Fakulti Kejuruteraan, Universiti Malaya |d 2021. | ||
| 504 | |a Bibliography: leaves 109-117. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Aortic valve |x Diseases. | |
| 650 | 0 | |a Aortic valve |x Stenosis. | |
| 650 | 0 | |a Heart |x Cross-sectional imaging. | |
| 650 | 0 | |a Echocardiography. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Bioperubatan, |e degree granting institutions. | |
| 900 | |a NNANS US | ||
| 596 | |a 1 7 25 | ||
| 999 | |a R856.4 UMP 2021 MUHHAN |w LC |c 1 |i A517719418 |f 14/3/2022 |g 2 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 14/3/2022 |1 STEM | ||
| 999 | |a R856.4 UMP 2021 MUHHAN |w LC |c 1 |i A517733661 |f 24/3/2022 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 24/3/2022 |1 STEM | ||
| 999 | |a R856.4 UMP 2021 MUHHAN |w LC |c 1 |i A517719421 |f 31/5/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 31/5/2022 |1 STEM |o .STAFF. MST-CD781 | ||