Molecular Oncologic Imaging

2791-965X

Mersin University

10.71286/moi.1874280

Clinical Oncology

Klinik Onkoloji

A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR

https://orcid.org/0009-0004-6852-3892

Krishna B S

Vamshi

Aditya Bangalore Institute of Pharmacy Education and Research

04 30 2026

6 1 1 12 01 29 2026 04 29 2026

2021

Molecular Oncologic Imaging

A brain tumor is a condition where the uncontrolled proliferation of cells is carried out forming a tumor which can be morbid or mortal, making it a serious condition. Segmentation and classification of brain tumors has become a challenging task. Voracious types of tumors in the brain make it very difficult to differentiate. Recent developments in the field of Artificial Intelligence (AI) driven towards a greater reduction in the complexity. A number of AI algorithms and tools are available which made the diagnosis of brain tumors very easy and also accurate. Various methods of explainable AI, such as Machine Learning (ML) and Deep Learning (DL) and their sub-classifications, aid in the specific target and are specialized to select an area of interest and accumulate the data to process and differentiate the types of tumors. These techniques analyze the images obtained by various radiological techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) scans, and others which assist with focusing on a particular region of interest to obtain accurate results. This article focuses on various available radiological techniques, AI tools and their mechanisms in the process of segmentation and classification, which aids in the early diagnosis of brain tumors.

Explainable Artificial Intelligence Early Brain Tumor Diagnosis Convolutional Neural Networks (CNN) Multimodal Neuroimaging Computer-Aided Diagnosis.

Aditya Bangalore Institute of Pharmacy Education and Research-ABIPER

AI in Brain Tumour Diagnosis

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