About LesSeg
LesSeg.com is a groundbreaking web application specifically designed to perform lesion segmentation on T1 images. With capabilities to work with both 2D and 3D images, it is a state-of-the-art platform that brings cutting-edge AI tools to the fingertips of researchers, clinicians, and academics. Developed to function seamlessly on web and mobile platforms, LesSeg.com offers an efficient and user-friendly interface that caters to the diverse needs of the medical imaging community.
Development Team
This deep-learning based tool was meticulously developed by a team of computer science and computer engineering students including Sovesh Mohapatra, Aleksei Rutkovskii, and Advait Gosai. Their collaboration was driven by commitment to innovation, precision, and usability. Under the expert guidance of Dr. Gottfried Schlaug, a renowned personnel in the field of neuroimaging, the team successfully translated complex computational techniques into a practical and accessible solution.
Licensing and Usage
LesSeg.com is shared under a Creative Commons License, allowing researchers and professionals to utilize this technology in their work. While users are encouraged to benefit from this advanced platform, proper citation of the underlying scientific research is mandatory. The following papers detail the methodologies and comparative studies that contributed to the development of LesSeg.com:
- Meta-Analysis of Transfer Learning for Segmentation of Brain Lesionshttps://arxiv.org/abs/2306.11714
Sovesh Mohapatra, Advait Gosai, Anant Shinde, Aleksei Rutkovskii, Sirisha Nouduri, Gottfried Schlaug
- SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learninghttps://arxiv.org/abs/2304.04738
Sovesh Mohapatra, Advait Gosai, Gottfried Schlaug
For inquiries, support, or collaboration, please contact us at admin@lesseg.com