Identification of microscopy cell images by using convolutional neural network application /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2020.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/11912/ |
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|---|---|---|---|
| 001 | u1136487 | ||
| 003 | SIRSI | ||
| 005 | 202009021231 | ||
| 008 | 200902s2020 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a R856.4 |b UM 2020 Norfa | ||
| 097 | |a R856.4 |b UM 2020 Norfa | ||
| 100 | 0 | |a Norfatin Farisya Ajis, |e author. | |
| 245 | 1 | 0 | |a Identification of microscopy cell images by using convolutional neural network application / |c Norfatin Farisya binti Ajis. |
| 264 | 1 | |c 2020. | |
| 300 | |a x, 51 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 disc |2 rdacarrier | ||
| 502 | |b M.Eng. |c Jabatan Kejuruteraan Bioperubatan, Fakulti Kejuruteraan, Universiti Malaya |d 2020. | ||
| 504 | |a Bibliography: leaves 46-51. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Microscopy. | |
| 650 | 0 | |a Image analysis. | |
| 650 | 0 | |a Neural networks (Computer science). | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Cell lines. | |
| 650 | 0 | |a Breast |x Cancer |x Diagnosis. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Bioperubatan, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/11912/ |
| 900 | |a NNANS NSM | ||
| 596 | |a 1 7 | ||
| 999 | |a R856.4 UM 2020 NORFA |w LC |c 1 |i A517623224 |f 7/9/2020 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 2/9/2020 |1 STEM |o .STAFF. tiada cd & agreement | ||
| 999 | |a R856.4 UM 2020 NORFA |w LC |c 1 |i A517442160 |f 15/10/2020 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 15/10/2020 |1 STEM | ||
| 999 | |a R856.4 UM 2020 NORFA |w LC |c 2 |i A517442156 |f 15/10/2020 |g 1 |l COUNTER |m P07JURUTER |r Y |s Y |t CD |u 15/10/2020 |1 STEM | ||