International Journal of Scientific Development and Research - IJSDR
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Issue: July 2021

Volume 6 | Issue 7

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Paper Title: Foot ulcer detection using super pixel and faster R-CNN algorithm
Authors Name: Merline.A , Pranavesh.E , Akash.M , Angalaparameswari.S , D.Nithiya Priya
Unique Id: IJSDR2102020
Published In: Volume 6 Issue 2, February-2021
Abstract: In recent years researches made on diabetic foot ulcer (DFU) which is caused by increase of blood glucose results nerve injury and leads to amputation. This paper represent a noval method for wound identification of diabetic foot ulcer for early detection. an automatic 3D segmentation method for transrectal Foot images, which is based on multi-Foot Ulcer registration and region extraction. The database is created to store 2400 images of ulcer grade and no ulcerative images out of that 1920 images are subjected for training phase and 480 images for testing phase. The work explains about the process of foot ulcer detection of previous detection techniques and the research made on foot ulcer detection. It explain briefly about the pre-processing, feature extraction, segmentation and stages of ulcer affected in the foot.
Keywords: Diabetic foot ulcer(DFU), Super pixel algorithm, Faster R-CNN algorithm
Cite Article: "Foot ulcer detection using super pixel and faster R-CNN algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 2, page no.137 - 140, February-2021, Available :http://www.ijsdr.org/papers/IJSDR2102020.pdf
Downloads: 00025297
Publication Details: Published Paper ID: IJSDR2102020
Registration ID:192911
Published In: Volume 6 Issue 2, February-2021
DOI (Digital Object Identifier):
Page No: 137 - 140
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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