Brain Tumor Detection using Swin Transformers
Prateek A. Meshram Suraj Joshi Devarshi Mahajan
The first MRI scan was done in the year 1978 by researchers at EML
Laboratories. As per an estimate, approximately 251,329 people died due to
primary cancerous brain and CNS (Central Nervous System) Tumors in the year
2020. It has been recommended by various medical professionals that brain tumor
detection at an early stage would help in saving many lives. Whenever
radiologists deal with a brain MRI they try to diagnose it with the
histological subtype which is quite subjective and here comes the major issue.
Upon that, in developing countries like India, where there is 1 doctor for
every 1151 people, the need for efficient diagnosis to help radiologists and
doctors come into picture. In our approach, we aim to solve the problem using
swin transformers and deep learning to detect, classify, locate and provide the
size of the tumor in the particular MRI scan which would assist the doctors and
radiologists in increasing their efficiency. At the end, the medics would be
able to download the predictions and measures in a PDF (Portable Document
Format). Keywords: brain tumor, transformers, classification, medical, deep
learning, detection