WHO WE ARE
We are a team of two driven high school students, united by a personal commitment to tackle sociomedical challenges.
With our skillsets in deep learning, computer science, and business, we aim to make a tangible impact in the field of brain tumor segmentation — automating the process, saving more lives.
Meet The Team
Why We Care?
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On a global scale, approximately 300,000 new cases of brain and CNS cancer are diagnosed annually.​
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​On a global scale, approximately 93.1% of patients diagnosed with glioblastoma are unable to survive, often due to late diagnosis.
Our Solution
Our product, TumorMask©, provides an advanced Al model for brain tumor segmentation, leveragingdeep learning to analyze MRl scans and accurately delineate tumor boundaries. With a validationaccuracy of 98-99% and a dice coefficient of 88%, it replacing time-consuming manual procedures and addresses common challenges such as missing modalities from patient moving during the MR scanning process.
1
Accurate
Our deep learning model accurately identifies the brain tumor regions and delineates maskings that segment the actual tumor boundaries, achieving an accuracy benchmark of 98.7%.
2
Efficient
The usage of the model requires only the uploading of four different MRI modalities, saving up to 1.5 hours compared to manual segmentation.
3
Quantitative
Compared to manual segmentation, deep learning models establish patterns and characteristics that are trained with thousands of data, enhancing its reliability and consistency.
3
Accessible
The website application of our model and the practical software in a clinical setting offers an image-based approach for low-cost brain tumor segmentation and treatment planning.
Join Us
We seek like-minded organizations and skilled deep learning developers to advance our technology. Join us in the revolutionary mission as one of our staff members, or partner with us as distributors.