Automatic Multiclass Tissue Segmentation Using Deep Learning in Brain MR Images of Tumor Patients
The proposed pipeline offers a reliable and automatic solution for segmenting brain tissues and tumor lesions in MR images. Its adaptability makes it a valuable tool for both research and clinical applications, potentially streamlining workflows and enhancing the precision of analyses in neurological and oncological studies.
Authors
- Ankit Kandpal (ORCID: https://orcid.org/0000-0003-4339-7047)
- Anup Singh (ORCID: https://orcid.org/0000-0001-6744-8326)
- Puneet Kumar (ORCID: https://orcid.org/0000-0002-4318-1353)
- Rakesh Gupta (ORCID: https://orcid.org/0000-0002-6051-8923)
Institutions
- Fortis Memorial Research Institute (IN)
- All India Institute of Medical Sciences (IN)
- Indian Institute of Technology Delhi (IN)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1097/rct.0000000000001750
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84