fMRI Brain Tumor Detection using Machine Learning Techniques
Title Talk: fMRI Brain Tumor Detection using Machine Learning Techniques
Author: Tatchanaamoorti Purshatman Lecturer and Researcher, Manipal International University Malaysia
Email: tatchanaamoorti.purnshatman@miu.edu.my Volume: Brain 2023_CN37_AA02
International Live Conference on Brain: Latest Discoveries and Inventions Date: June 16, 2023 Time: 8 PM Indian Standard Time Location: Online Conference Theme: Unlocking the Mysteries of the Brain: Advancements, Innovations, and Impact
Abstract:
A brain tumor is a group of abnormal cells that grows in or around the brain, directly destroying healthy brain cells and indirectly damaging others by crowding brain parts, causing inflammation, brain swelling, and pressure within the skull. Brain tumors can be either malignant or benign. Malignant tumors, also known as brain cancer, grow rapidly and often invade or crowd healthy areas of the brain. On the other hand, benign brain tumors do not contain cancer cells, appear normal under a microscope, and typically grow slowly.
Brain tumors are classified as primary or metastatic. Primary brain tumors originate within the brain, while metastatic tumors are formed when cancer cells from other parts of the body break away and travel to the brain. As a result, metastatic brain tumors are almost always malignant, while primary brain tumors can be either benign or malignant.
Brain tumors are classified based on the tumor's location, the type of tissue involved, whether it is benign or malignant, and other factors. If a tumor is determined to be malignant, its cells are examined under a microscope to assess the level of malignancy. Tumors are then graded based on factors such as cell growth rate, blood supply, presence of dead cells (necrosis), confinement to a specific area, and similarity to normal cells.
In Asia, over 8,200 people are diagnosed with brain tumors every year (2022 estimates), with approximately 200 different types of tumors diagnosed annually. Functional magnetic resonance imaging (fMRI) is a powerful non-invasive tool used by psychologists, psychiatrists, and neurologists to study brain function. It provides high-quality visualization of brain activity resulting from sensory stimulation or cognitive function. fMRI helps understand how the healthy brain functions, its response to diseases, recovery after damage, and the effects of drugs on brain activity and recovery.
The goal of fMRI analysis is to robustly, sensitively, and validly detect brain areas with increased intensity during stimulation. Additionally, fMRI is used to monitor the growth and function of brain tumors. Biography: Mr. Tatchana is an accomplished computing lecturer and researcher, passionate about advancing technology education and empowering innovative problem solvers. With 15+ years of academia experience, he contributes significantly to computer science and is recognized for expertise in diverse computing areas.
He completed a computing degree at the University of Greenwich, London, gaining a strong foundation in programming, algorithms, and data structures. Pursuing a Ph.D. in Education Technology, his research focuses on Metaverse and AI applications, including a novel learning platform for natural language processing and data analysis.
As a senior lecturer at Manipal International University, Mr. Tatchana designs and delivers courses in simulation, computer networks, AI, and mobile computing. His hands-on teaching approach fosters critical thinking and practical engagement.
His research interests span virtual reality, natural language processing, and human-computer interaction, collaborating with industry partners to develop innovative solutions.
Beyond academia, Mr. Tatchana advocates for diversity in tech, mentors students, and delivers keynotes on AI ethics and computing education. He reviews for esteemed Malaysian computing journals.
Through teaching, research, and advocacy, Mr. Tatchana shapes the next generation of computing professionals, inspiring with his expertise and dedication to positive change.
