Machine learning aided classification and grading of biopsy sample using discrete wavelet transform and gray level co-occurrence matrix

K M Sindhoora; K U Spandana; U Raghavendra; Sharada Rai; K K Mahato; Nirmal Mazumder

doi:10.1364/FIO.2022.JTu5A.63

Frontiers in Optics + Laser Science 2022 (FIO, LS)
Technical Digest Series (Optica Publishing Group, 2022),
paper JTu5A.63
•https://doi.org/10.1364/FIO.2022.JTu5A.63

Machine learning aided classification and grading of biopsy sample using discrete wavelet transform and gray level co-occurrence matrix

K M Sindhoora, K U Spandana, U Raghavendra, Sharada Rai, K K Mahato, and Nirmal Mazumder

Frontiers in Optics 2022

Rochester, New York United States
17–20 October 2022
ISBN: 978-1-957171-17-3

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K. M. Sindhoora, K. U. Spandana, U. Raghavendra, S. Rai, K. K. Mahato, and N. Mazumder, "Machine learning aided classification and grading of biopsy sample using discrete wavelet transform and gray level co-occurrence matrix," in Frontiers in Optics + Laser Science 2022 (FIO, LS), Technical Digest Series (Optica Publishing Group, 2022), paper JTu5A.63.

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Abstract

Machine learning based classification and grading of the pathological specimen plays an important role in the biomedical field. In the current study, we discuss the importance of feature extraction for machine learning.

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