Open access Journal SINTA 1
Astrocytoma, ependymoma, and oligodendroglioma classification with deep convolutional neural network
IAES International Journal of Artificial Intelligence · Vol. 11 No. 4 (2022) · pp. 1306–1313
- ISSN
- 2252-8938, 2089-4872
- Published
- 2022-12-01
- Publisher
- Institute of Advanced Engineering and Science
- Language
- eng
Abstract
Glioma as one of the most common types of brain tumor in the world has three different classes based on its cell types. They are astrocytoma, ependymoma, oligodendroglioma, each has different characteristics depending on the location and malignance level. Radiological examination by medical personnel is still carried out manually using magnetic resonance imaging (MRI) medical imaging. Brain structure, size, and various forms of tumors increase the level of difficulty in classifying gliomas. It is advisable to apply a method that can conduct gliomas classification through medical images. The proposed methods were proposed for this study using deep convolutional neural network (DCNN) for classification with k-means segmentation and contrast enhancement. The results show the effectiveness of the proposed methods with an accuracy of 95.5%.
Keywords
Collaboration network of the authors
40 authors · 109 co-authorship links · 4 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Sumatera Utara
- Politeknik Negeri Medan
- International Islamic University Malaysia
- Telkom University
- Bandung Institute of Technology
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Arif Ridho Lubis | Affiliation unknown | 4 |
| Michael J. Watts | Affiliation unknown | 4 |
| Romi Fadillah Rahmat | Affiliation unknown | 3 |
| Julham Julham | Affiliation unknown | 3 |
| Idham Kamil | Affiliation unknown | 3 |
| Yuyun Yusnida Lase | Politeknik Negeri Medan | 2 |
| Syahril Efendi | Universitas Sumatera Utara | 2 |
| Elviawaty Muisa Zamzami | Universitas Sumatera Utara | 2 |
| Opim Salim Sitompul | Universitas Sumatera Utara | 2 |
| Mahyuddin K. M. Nasution | Universitas Sumatera Utara | 2 |
| Mahyuddin Khairuddin Matyuso Nasution | Affiliation unknown | 2 |
| Dewi Wulandari | Affiliation unknown | 1 |
| Lilis Tiara Adha | Politeknik Negeri Medan | 1 |
| Tika Ariyani | Politeknik Negeri Medan | 1 |
| Fahdi Saidi Lubis | International Islamic University Malaysia | 1 |
| Hanif Fakhrurroja | Telkom University | 1 |
| Rian Bimo Ankhal | Affiliation unknown | 1 |
| Muhammad Fakhrul Safitra | Affiliation unknown | 1 |
| Yulio Ferdinand | Affiliation unknown | 1 |
| Oktariani Nurul Pratiwi | Affiliation unknown | 1 |
| Rio Guntur Utomo | Affiliation unknown | 1 |
| Jonathan Arya Wibowo | Affiliation unknown | 1 |
| Kobthong Ladkoom | Affiliation unknown | 1 |
| Sinung Suakanto | Bandung Institute of Technology | 1 |
| Joko Siswanto | Affiliation unknown | 1 |
| Jan M. Pawlowski | Affiliation unknown | 1 |
| Syfa Nur Lathifah | Affiliation unknown | 1 |
| Litasari Widyastuti Suwarsono | Affiliation unknown | 1 |
| Hariyadi Hariyadi | Affiliation unknown | 1 |
| Ferry Fachrizal | Affiliation unknown | 1 |
| Amrullah Amrullah | Affiliation unknown | 1 |
| Akbar Idaman | Affiliation unknown | 1 |
| Herman Mawengkang | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.