BIG data significance in remote medical diagnostics based on deep learning techniques
Alicja Kwasniewska, Anna Giczewska, Jacek Ruminski (TASK, 2017)
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ABSTRAK In this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video based estimation of patient vital signs and other health-related parameters. Additionally, potential challenges of using, storing and transferring sensitive patient data are discussed. |
| No. Panggil : | 600 SBAG 21:4 (2017) |
| Entri utama-Nama orang : | |
| Entri tambahan-Nama orang : | |
| Penerbitan : | [Place of publication not identified]: TASK, 2017 |
| Sumber Pengatalogan : | LibUI eng rda |
| ISSN : | 14286394 |
| Majalah/Jurnal : | Scientific Bulletin of Academic Computer Centre in Gdanks |
| Volume : | Vol. 21, No. 4, October 2017 : hal. 309-319 |
| Tipe Konten : | text |
| Tipe Media : | unmediated |
| Tipe Carrier : | volume |
| Akses Elektronik : | |
| Institusi Pemilik : | Universitas Indonesia |
| Lokasi : | Perpustakaan UI, Lantai 4, R. Koleksi Jurnal |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| 600 SBAG 21:4 (2017) | 03-19-485696026 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20496903 |
