Foot ulcer detection using super pixel and faster R-CNN algorithm
Merline.A
, Pranavesh.E , Akash.M , Angalaparameswari.S , D.Nithiya Priya
Diabetic foot ulcer(DFU), Super pixel algorithm, Faster R-CNN algorithm
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.
"Foot ulcer detection using super pixel and faster R-CNN algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 2, page no.137 - 140, February-2021, Available :https://ijsdr.org/papers/IJSDR2102020.pdf
Volume 6
Issue 2,
February-2021
Pages : 137 - 140
Paper Reg. ID: IJSDR_192911
Published Paper Id: IJSDR2102020
Downloads: 000347472
Research Area: Engineering
Country: Puducherry, Puducherry, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
