Classification Of Brain Tumor Using Deep Learning

ISBN-13: 9786204982878 / Angielski / Miękka / 104 str.

Harsh Jindal; Atul Jha; Vaibhav Singh

Opis

In the growing age of various diseases and specially the Brain Tumor, Automatic differentiation of clinical pictures is not less than any boon. This technology helps in diagnosis, growth observation and also helps to tackle up through the disease. The brain tumor is one of the foremost rigorous diseases in medical science. An efficient and efficient analysis is often a key concern for the radiotherapist within the premature section of tumor growth. Histological grading, supported by a stereotactic diagnostic assay test, is the gold customary and therefore the convention for detective work the grade of a brain tumor. The biopsy procedure needs the operating surgeon to drill a little hole into the so that the tissue is collected. There are several risk factors involving the diagnostic test, as well as haemorrhage from the growth and brain inflicting infection, seizures, severe migraine, stroke, coma, and even death. However, the most concern with the stereotactic biopsy is that it's not 100% accurate which can lead to a heavy diagnostic error followed by wrong clinical management of the disease.

O autorze

We are a team of 3 authors studying the topic of Brain Tumor came across its updation with deep learning thought of bringing forward the concept of deep learning to you all.We would like to thank Ms. Sugandha Sharma for helping us and mentoring us for the same.