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Study on Contribution of Biological Interpretable and Computer-Aided Features Towards the Classification of Childhood Medulloblastoma Cells

  • Image & Signal Processing
  • Published:
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Abstract

Diagnosis and Prognosis of brain tumour in children is always a critical case. Medulloblastoma is that subtype of brain tumour which occurs most frequently amongst children. Post-operation, the classification of its subtype is most vital for further clinical management. In this paper a novel approach of pathological subtype classification using biological interpretable and computer-aided textural features is forwarded. The classifier for accurate features prediction is built purely on the feature set obtained by segmentation of the ground truth cells from the original histological tissue images, marked by an experienced pathologist. The work is divided into five stages: marking of ground truth, segmentation of ground truth images, feature extraction, feature reduction and finally classification. Kmeans colour segmentation is used to segment out the ground truth cells from histological images. For feature extraction we used morphological, colour and textural features of the cells followed by feature reduction using Principal Component Analysis. Finally both binary and multiclass classification is done using Support Vector Method (SVM). The classification was compared using six different classifiers and performance was evaluated employing five-fold cross-validation technique. The accuracy achieved for binary and multiclass classification before applying PCA were 95.4 and 62.1% and after applying PCA were 100 and 84.9% respectively. The run-time analysis are also shown. Results reveal that this technique of cell level classification can be successfully adopted as architectural view can be confusing. Moreover it conforms substantially to the pathologist’s point of view regarding morphological and colour features, with the addition of computer assisted texture feature.

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Acknowledgements

We would like to convey our sincere thanks to Dr. Basanta Kr. Baishya, Head of the department of neurosurgery, Guwahati medical college, and Dr. Inamul Haque, MCH Trainee from the department of neurosurgery, Guwahati Medical College for providing us the tissue blocks and Dr. Anup Das from Ayursundra Healthcare Pvt. Ltd. For processing the slides. We would further thank Dr. Shabnam Ahmed of Guwahati Neurological Research Centre, Sixmile for dedicating her time and effort and helping us in image acquisition and providing the ground truth. We are grateful to Institute of Advanced Study in Science and Technology (IASST), Guwahati for giving us the platform to perform our research.

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Authors and Affiliations

  1. Center for Computation and Numerical Studies, Institute of Advanced Study in Science and Technology, Guwahati, 781035, India

    Daisy Das & Lipi B. Mahanta

  2. Department of Pathology, Guwahati Neurological Research Centre, Guwahati, 781006, India

    Shabnam Ahmed

  3. Department of Neurosurgery, Guwahati Medical College and Hospital, Guwahati, 781032, India

    Basanta Kr. Baishya & Inamul Haque

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  1. Daisy Das
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  2. Lipi B. Mahanta
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  4. Basanta Kr. Baishya
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Contributions

Daisy Das had done the practical survey of the histological processing with practical implementation and analysis of the histological slides through image processing techniques.

Dr. Lipi B. Mahanta supervised the whole idea of the work and was a conceptual support team member.

Dr. Shabnam Ahmed was the medical expert in the study and analysis of our work.

Dr. Basanta Kr. Baishya and Dr. Inamul Haque were from the neurosurgery department that gave us an insight of the data for medulloblastoma tumors and also provided us with the tissue samples and slides.

Corresponding author

Correspondence to Lipi B. Mahanta.

Ethics declarations

This study was a part of a joint project undertaken by Institute of Advanced Study in Science and Technology (IASST) and GMCH. Permission for the same was granted from ethical bodies of both the institutions [IASST: Registration number ECR/248/Indt/AS/2015 of Rule 122DD, Drugs and Cosmetics Rule, 1945 of India; GMCH: MC/190/2007/pt-1/E-C/32 dated 30.5.2017].Informed consent from patients (appendix-I) were obtained from GMCH, as per their regulations.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Conflict of Interest

The authors declare that they have no conflict of interest.

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This article is part of the Topical Collection on Image & Signal Processing

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Das, D., Mahanta, L.B., Ahmed, S. et al. Study on Contribution of Biological Interpretable and Computer-Aided Features Towards the Classification of Childhood Medulloblastoma Cells. J Med Syst 42, 151 (2018). https://doi.org/10.1007/s10916-018-1008-4

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