ADVANCING BRAIN TUMOR DIAGNOSIS USING DEEP LEARNING AND AUTOMATED IMAGING TECHNIQUES
he study of tumor detection in brain is aimed for improvement of the required treatment for people that are suffering from brain tumor (BT). Brain tumors are aberrant cell evolutions in the brain, while cancer is an acronym employing to indicate tumors that are cancerous called malignant. CT or MRI investigations are used often to identify malignant regions in the brain. PET, cerebral arteriogram (CA), lumbar puncture (LP), and molecular testing (MT) can also be used to detect BTs. MRI scans are largely used in this investigation to examine the illness condition. The objectives of this study are to detect aberrant images and segment the tumor territory. The segmented mask can measure tumor density for therapeutic purposes.
Authors
- P. Anjaneya
- B. Mahesh Nayak
- G. Rajeswari
- T. Venkatakrishnamoorthy (ORCID: https://orcid.org/0009-0000-2287-4022)
- P. Uma Devi (ORCID: https://orcid.org/0000-0002-7812-2804)
- T. Lakshmi Narayana
Publication Details
- Journal
- International Journal of Interpreting Enigma Engineers.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.62674/ijiee.2025.v2i01.001
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84