Duple-MONDNet: duple deep learning-based mobile net for motor neuron disease identification

Authors

SONY HELENFollow
JOSEPH JAWHARFollow

Abstract

Background/aim: Motor neuron disease (MND) is a devastating neuron ailment that affects the motor neurons that regulate muscular voluntary actions. It is a rare disorder that gradually destroys aspects of neurological function. In general, MND arises as a result of a combination of natural, behavioral, and genetic influences. However, early detection of MND is a challenging task and manual identification is time-consuming. To overcome this, a novel deep learning-based duple feature extraction framework is proposed for the early detection of MND.Materials and methods: Diffusion tensor imaging tractography (DTI) images were initially analyzed for color and textural features using dual feature extraction. Local binary pattern (LBP)-based methods were used to extract textural data from images by examining nearby pixel values. A color information feature was then added to the LBP-based feature during the classification phase for extracting color features. A flattened image was then fed into the MONDNet for classifying normal and abnormal cases of MND based on color and texture features.Results: The proposed deep MONDNet is suitable because it achieved a detection rate of 99.66% and can identify MND in its early stages.Conclusion: The proposed mobile net model achieved an overall F1 score of 13.26%, 6.15%, 5.56%, and 5.96% compared to the BPNN, CNN, SVM-RFE, and MLP algorithms, respectively.

Author ORCID Identifier

SONY HELEN: 0009-0003-4463-0506

JOSEPH JAWHAR: 0009-0001-1266-0984

DOI

10.55730/1300-0144.5952

Keywords

color information feature, deep learning, Gaussian adaptive bilateral filter, local binary pattern, Motor neuron disease

First Page

140

Last Page

151

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

HELEN, SONY and JAWHAR, JOSEPH (2025) "Duple-MONDNet: duple deep learning-based mobile net for motor neuron disease identification," Turkish Journal of Medical Sciences: Vol. 55: No. 1, Article 16. https://doi.org/10.55730/1300-0144.5952
Available at: https://journals.tubitak.gov.tr/medical/vol55/iss1/16