Hardware acceleration of SVM-based classifier for melanoma images
Loading...
Files
Size: 369.3 KB, File format: Adobe PDF
Date
Authors
Afifi, S
Gholamhosseini, H
Roopak, S
Supervisor
Item type
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Computer Science, The University of Auckland.
Abstract
Melanoma is the most aggressive form of skin cancer which is responsible
for the majority of skin cancer related deaths. Recently, image-based Computer
Aided Diagnosis (CAD) systems are being increasingly used to help skin
cancer specialists in detecting melanoma lesions early, and consequently reduce
mortality rates. In this paper, we implement the most compute-intensive classification
stage in the CAD onto FPGA, aiming to achieve acceleration of the system
for deploying as an embedded device. A hardware/software co-design approach
was proposed for implementing the Support Vector Machine (SVM) classifier
for classifying melanoma images online in real-time. The hybrid Zynq platform
was used for implementing the proposed architecture of the SVM classifier designed
using the High Level Synthesis design methodology. The implemented
SVM classification system on Zynq demonstrated high performance with low
resources utilization and power consumption, meeting several embedded systems
constraints.
Description
Keywords
SVM; CAD; Melanoma; FPGA; Hardware implementation
Source
7th Pacific Rim Symposium on Image and Video Technology held at Auckland, New Zealand, Auckland, New Zealand, 2015-11-23 to 2015-11-27
DOI
Publisher's version
Rights statement
NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).