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Tumour Detection and Segmentation in MRI Scans of the Gut Area

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Advances in Computational Intelligence Systems (UKCI 2023)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1453))

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Abstract

A tumour is a dangerous ailment formed when abnormal cells group together to form unwanted tissues. Over the past years, many have suffered greatly and some even died as a result of late detection of tumour tissues growing in them. In this paper, a means of automatically detecting and mapping out tumour-infected regions in gut MRI scans of patients is proposed with the aid of artificial neural networks and computational algorithms. The dataset used in this paper comprises 38,496 MRI 16-bit greyscale scan slices of the gut area of various patients. Each scan represents a slice of the gut area of a patient, a single patient may have multiple scans of various slices of their gut area. Here, the means of improving model robustness via data augmentation is devised, alongside a suitable metric function for the estimation of loss and accuracy as well as gradient computation in model training were discussed. The methodology proposed yields a model that achieved an average accuracy of 89–90% on inference data.

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Notes

  1. 1.

    https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/data.

  2. 2.

    https://www.kaggle.com/code/ollatunji/tumor-detection-in-mri-scans-v2.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Bradford, Bradford, UK

    Olatunji Azeez & Raluca Lefticaru

Authors
  1. Olatunji Azeez
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  2. Raluca Lefticaru
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Corresponding author

Correspondence to Raluca Lefticaru .

Editor information

Editors and Affiliations

  1. Aston University, Birmingham, UK

    Nitin Naik

  2. Cardiff Metropolitan University, Cardiff, UK

    Paul Jenkins

  3. Aston University, Birmingham, UK

    Paul Grace

  4. Northumbria University, Newcastle upon Tyne, UK

    Longzhi Yang

  5. Devi Ahilya University, Indore, India

    Shaligram Prajapat

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Azeez, O., Lefticaru, R. (2024). Tumour Detection and Segmentation in MRI Scans of the Gut Area. In: Naik, N., Jenkins, P., Grace, P., Yang, L., Prajapat, S. (eds) Advances in Computational Intelligence Systems. UKCI 2023. Advances in Intelligent Systems and Computing, vol 1453. Springer, Cham. https://doi.org/10.1007/978-3-031-47508-5_41

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