Automatic Multiclass Tissue Segmentation Using Deep Learning in Brain MR Images of Tumor Patients.

Journal: Journal of computer assisted tomography
Published Date: Jun 30, 2025

Abstract

OBJECTIVE: Precise delineation of brain tissues, including lesions, in MR images is crucial for data analysis and objectively assessing conditions like neurological disorders and brain tumors. Existing methods for tissue segmentation often fall short in addressing patients with lesions, particularly those with brain tumors. This study aimed to develop and evaluate a robust pipeline utilizing convolutional neural networks for rapid and automatic segmentation of whole brain tissues, including tumor lesions.

Authors

  • Ankit Kandpal
    Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
  • Puneet Kumar
    Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, India. Electronic address: pkumar99@cs.iitr.ac.in.
  • Rakesh Kumar Gupta
    Department of Radiology, Fortis Memorial Research Institute, Gurgaon, India.
  • Anup Singh
    Centre for Biomedical Engineering, IIT Delhi, New Delhi, India; Department of Biomedical Engineering, AIIMS Delhi, New Delhi, India. Electronic address: anupsm@iitd.ac.in.

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