Classification of the brain metastases based on a new 3D deep learning architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08051-w.pdf
Reference39 articles.
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2. Ahmad F, Ahmad I, Dar WM (2017) Identification and classification of voxels of human brain for rewardless-related decision making using ANN technique. Neural Comput Appl 28(1):1035–1041. https://doi.org/10.1007/s00521-016-2413-6
3. Aizer AA, Lee EQ (2018) Brain metastases. Neurol Clin 36(3):557–577. https://doi.org/10.1016/j.ncl.2018.04.010
4. Al-Areqi F, Konyar MZ (2022) High accuracy classification of covid-19 from CT images using transfer learning architectures. DUJE Dicle Univ J Eng 13(3):457–466. https://doi.org/10.24012/dumf.1129870
5. Al-Areqi F, Konyar MZ (2022) Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: a high accuracy classification study. Biomed Signal Process Control 76:103662. https://doi.org/10.1016/j.bspc.2022.103662
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