Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2022.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14399/ |
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| 001 | u1159238 | ||
| 003 | SIRSI | ||
| 005 | 202211141526 | ||
| 008 | 221114s2022 my a m 000 0 eng | ||
| 040 | |a UMM |d AUM |e rda | ||
| 090 | |a QA76 |b UMP 2022 Pan | ||
| 100 | 1 | |a Pang, Ting, |e author. | |
| 245 | 1 | 0 | |a Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis / |c Pang Ting. |
| 264 | 1 | |c 2022. | |
| 300 | |a xix, 174 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2022. | ||
| 504 | |a Bibliography: leaves 150-173. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Deep learning (Machine learning) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Breast |x Cancer |x Diagnosis. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14399/ |
| 900 | |a US | ||
| 596 | |a 1 25 | ||
| 999 | |a QA76 UMP 2022 PAN |w LC |c 1 |i A515881720 |f 7/2/2023 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 14/11/2022 |1 STEM | ||
| 999 | |a QA76 UMP 2022 PAN |w LC |c 1 |i A515881716 |f 7/3/2023 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 7/3/2023 |1 STEM |o .STAFF. MST-CD2079 | ||