A Digital Cellular-Based System for Retinal Vessel-Tree Extraction
Nowadays, the advances in the semiconductor indus-try allow to include a considerable number of fully digital processing elements on a chip. These massively parallel processor arrays are already able to host cellular wave computing algorithms with acceptable time performance. In this paper we approach the implementation of an originally CNN-based algorithm for retinal vessel-tree extraction on the Ambric’s parallel processor array Am2045, provided with 336 32bit processing elements. Results and measured data are included.
keywords: Retinal-Vessel Tree Extraction, Stream Processing, FPGA
Publication: Congress
1624015013810
June 18, 2021
/research/publications/a-digital-cellular-based-system-for-retinal-vessel-tree-extraction
Nowadays, the advances in the semiconductor indus-try allow to include a considerable number of fully digital processing elements on a chip. These massively parallel processor arrays are already able to host cellular wave computing algorithms with acceptable time performance. In this paper we approach the implementation of an originally CNN-based algorithm for retinal vessel-tree extraction on the Ambric’s parallel processor array Am2045, provided with 336 32bit processing elements. Results and measured data are included. - César Díaz Resco, Alejandro Nieto, Roberto R. Osorio, Victor M. Brea, David L. Vilariño - 10.1109/ECCTD.2009.5275113
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