• Rohan
• Er. Parmeet Kaur

The long-term goal of this work is the characterization of atherosclerosis lesions in vivo using Magnetic Resonance Imaging (MRI). Its particular interest is the computer-aided diagnosis and staging of the disease, especially the detection of vulnerable plaques. MRI is an extensively used technique which facilitates the diagnosis and prognosis of brain tumors in many neurological diseases and conditions. Standard MRI sequences are generally used to differentiate between different types of brain tumors based on visual qualities and contrast texture analysis of the soft tissue. In this work, an automatic brain tumor region detection scheme is reviewed based on the variation of intensity distribution in volumetric tumor and non-tumor region. All related work have been reviewed with various techniques.

Image Processing, Brain Tumor, Energy Optimization etc.

"Study of Segmentation & Detection of Brain Tumor with Classification in MRI Images: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b421-b425, April-2022, Available :http://www.jetir.org/papers/JETIR2204156.pdf

"Study of Segmentation & Detection of Brain Tumor with Classification in MRI Images: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppb421-b425, April-2022, Available at : http://www.jetir.org/papers/JETIR2204156.pdf