Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation
- Title
- Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation
- Creator
- Joshey A.; Thiruthuvanathan M.M.; Aarushi
- Description
- A brain tumor is an unusual and excessive growth of brain cells, which can be cancerous (malignant) or noncancerous (benign). These growths can be risky as they press on healthy brain tissue or expand in the brain. Detecting brain tumors early is tough for radiologists. A typical brain tumor can double in size in just 25days, and without the right treatment, patients often have limited chances of survival, about six months. Initial symptoms can be confused with other illnesses, and brain cancer is difficult to diagnose because of the complex nature of the brain and tumor locations. In this study, we propose a strategy where we first sort medical images based on the presence of a brain tumor. Then, we pinpoint the part of the image containing the tumor through segmentation. We use a combined model of MobileNet-V3 and EfficientNetV2 for image classification. To segment the tumor in the image, we use a fast marching method. The combined model's classification accuracy is 98%, and the segmentation accuracy is 99.6%. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
- Source
- Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 151-164.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Brain tumor detection; Deep learning; Ensemble; Fast marching; Segmentation
- Coverage
- Joshey A., Christ (Deemed to be University), Karnataka, Bangalore, India; Thiruthuvanathan M.M., Christ (Deemed to be University), Karnataka, Bangalore, India; Aarushi, Christ (Deemed to be University), Karnataka, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981970974-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Joshey A.; Thiruthuvanathan M.M.; Aarushi, “Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 2, 2025, https://archives.christuniversity.in/items/show/19381.