Real-Time Web Application to Classify Diabetic Foot Ulcer

Souhrid Nandi; Apoorva Anurag; Veena Mayya; Jayakumar Jeganathan

doi:10.1109/ICCCNT56998.2023.10307906

Real-Time Web Application to Classify Diabetic Foot Ulcer

Souhrid Nandi^*
, Apoorva Anurag
, Veena Mayya
, Jayakumar Jeganathan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Diabetic foot ulcers are one of the major complications of type 2 diabetes and can result in gangrene and amputation if left untreated. Early detection and treatment are essential for reducing the risk of amputation. Imaging, such as digital photography or imaging scans, can be a valuable tool in detecting and monitoring diabetic foot ulcers, documenting their size and location, identifying underlying issues, and evaluating treatment effectiveness. This paper utilises a two-dimensional image as its input and applies an ensemble of neural networks to analyse the images. The system is capable of performing image classification into four distinct states, infection, ischaemia, both, and none.

Original language	English
Title of host publication	2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350335095
DOIs	https://doi.org/10.1109/ICCCNT56998.2023.10307906
Publication status	Published - 2023
Event	14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 - Delhi, India Duration: 06-07-2023 → 08-07-2023

Publication series

Name	2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

Conference

Conference	14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
Country/Territory	India
City	Delhi
Period	06-07-23 → 08-07-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Decision Sciences (miscellaneous)
Modelling and Simulation

Access to Document

10.1109/ICCCNT56998.2023.10307906

Cite this

Nandi, S., Anurag, A., Mayya, V., & Jeganathan, J. (2023). Real-Time Web Application to Classify Diabetic Foot Ulcer. In 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 (2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCCNT56998.2023.10307906

Nandi, Souhrid ; Anurag, Apoorva ; Mayya, Veena et al. / Real-Time Web Application to Classify Diabetic Foot Ulcer. 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023).

@inproceedings{226e5f1dc64b4eeda1298a17a535a998,

title = "Real-Time Web Application to Classify Diabetic Foot Ulcer",

abstract = "Diabetic foot ulcers are one of the major complications of type 2 diabetes and can result in gangrene and amputation if left untreated. Early detection and treatment are essential for reducing the risk of amputation. Imaging, such as digital photography or imaging scans, can be a valuable tool in detecting and monitoring diabetic foot ulcers, documenting their size and location, identifying underlying issues, and evaluating treatment effectiveness. This paper utilises a two-dimensional image as its input and applies an ensemble of neural networks to analyse the images. The system is capable of performing image classification into four distinct states, infection, ischaemia, both, and none.",

author = "Souhrid Nandi and Apoorva Anurag and Veena Mayya and Jayakumar Jeganathan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 ; Conference date: 06-07-2023 Through 08-07-2023",

year = "2023",

doi = "10.1109/ICCCNT56998.2023.10307906",

language = "English",

series = "2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023",

address = "United States",

}

Nandi, S, Anurag, A, Mayya, V & Jeganathan, J 2023, Real-Time Web Application to Classify Diabetic Foot Ulcer. in 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023. 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, Delhi, India, 06-07-23. https://doi.org/10.1109/ICCCNT56998.2023.10307906

Real-Time Web Application to Classify Diabetic Foot Ulcer. / Nandi, Souhrid; Anurag, Apoorva; Mayya, Veena et al.
2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Real-Time Web Application to Classify Diabetic Foot Ulcer

AU - Nandi, Souhrid

AU - Anurag, Apoorva

AU - Mayya, Veena

AU - Jeganathan, Jayakumar

PY - 2023

Y1 - 2023

N2 - Diabetic foot ulcers are one of the major complications of type 2 diabetes and can result in gangrene and amputation if left untreated. Early detection and treatment are essential for reducing the risk of amputation. Imaging, such as digital photography or imaging scans, can be a valuable tool in detecting and monitoring diabetic foot ulcers, documenting their size and location, identifying underlying issues, and evaluating treatment effectiveness. This paper utilises a two-dimensional image as its input and applies an ensemble of neural networks to analyse the images. The system is capable of performing image classification into four distinct states, infection, ischaemia, both, and none.

AB - Diabetic foot ulcers are one of the major complications of type 2 diabetes and can result in gangrene and amputation if left untreated. Early detection and treatment are essential for reducing the risk of amputation. Imaging, such as digital photography or imaging scans, can be a valuable tool in detecting and monitoring diabetic foot ulcers, documenting their size and location, identifying underlying issues, and evaluating treatment effectiveness. This paper utilises a two-dimensional image as its input and applies an ensemble of neural networks to analyse the images. The system is capable of performing image classification into four distinct states, infection, ischaemia, both, and none.

UR - https://www.scopus.com/pages/publications/85179853270

UR - https://www.scopus.com/pages/publications/85179853270#tab=citedBy

U2 - 10.1109/ICCCNT56998.2023.10307906

DO - 10.1109/ICCCNT56998.2023.10307906

M3 - Conference contribution

AN - SCOPUS:85179853270

T3 - 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

BT - 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

Y2 - 6 July 2023 through 8 July 2023

ER -

Nandi S, Anurag A, Mayya V , Jeganathan J. Real-Time Web Application to Classify Diabetic Foot Ulcer. In 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023). doi: 10.1109/ICCCNT56998.2023.10307906

Real-Time Web Application to Classify Diabetic Foot Ulcer

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this