Down Syndrome Detection and Classification Using Anfis Classification Approach

An extra copy of chromosome 21 causes the genetic disorder known as Down syndrome (DS). Physical and mental difficulties result from this additional chromosome's impact on the body and brain's development. The proposed system contains preprocessing block, feature extraction block and classification block for DS detection process. The image enhancement has been performed on preprocessing stage, the features Grey Level Co-occurrence Matrix (GLCM) and Local Binary Pattern (LBP) are computed at feature extraction stage. The Adaptive Neuro Fuzzy Inference (ANFIS) classifier has been used in classification stage to classify the fetus image into either normal or abnormal.

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Published
2025-05-09
DOI
https://doi.org/10.1109/stcr62650.2025.11019436
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Down Syndrome Detection and Classification Using Anfis Classification Approach

V Gokulakrishnan, S. Selvakumar
Artificial Intelligence in Healthcare
article

Down Syndrome Detection and Classification Using Anfis Classification Approach

V Gokulakrishnan, S. Selvakumar
article en

Abstract

An extra copy of chromosome 21 causes the genetic disorder known as Down syndrome (DS). Physical and mental difficulties result from this additional chromosome's impact on the body and brain's development. The proposed system contains preprocessing block, feature extraction block and classification block for DS detection process. The image enhancement has been performed on preprocessing stage, the features Grey Level Co-occurrence Matrix (GLCM) and Local Binary Pattern (LBP) are computed at feature extraction stage. The Adaptive Neuro Fuzzy Inference (ANFIS) classifier has been used in classification stage to classify the fetus image into either normal or abnormal.

Dhanalakshmi Srinivasan Group of Institutions (IN)
Gender equality
Openalex Percentile: Top 85%
Artificial Intelligence in Healthcare
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Down Syndrome Detection and Classification Using Anfis Classification Approach — V Gokulakrishnan, S. Selvakumar · (2025) | TGRS Research Map | TGRS