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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Published: 2023-12-30
DOI: https://doi.org/10.56294/dm2023197

Brain Tumor Segmentation Pipeline Model Using U-Net Based Foundation Model

By
Sanjeev Kumar Bhatt ,
Sanjeev Kumar Bhatt

Research Scholar, Department of Computer Applications, PDM University, Bahadurgarh, Haryana, India

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Dr. S. Srinivasan ,
Dr. S. Srinivasan

Research Scholar, Department of Computer Applications, PDM University, Bahadurgarh, Haryana, India

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Dr. Piyush Prakash ,
Dr. Piyush Prakash

Research Scholar, Department of Computer Applications, PDM University, Bahadurgarh, Haryana, India

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Abstract

Medical professionals often rely on Magnetic Resonance Imaging (MRI) to obtain non-invasive medical images. One important use of this technology is brain tumor segmentation, where algorithms are used to identify tumors in MRI scans of the brain. The foundation model Pipeline is based on U-Net Architecture to handle medical image segmentation and has been fine-tuned in the research paper to segment brain tumors. The model will be further trained on various medical images to segment images for various bio-medical purposes and used as part of the Generative AI functional model framework. Accurate segmentation of tumors is essential for treatment planning and monitoring, and this approach can potentially improve patient outcomes and quality of life.

Keywords:

Segmentation,
Forward Process,
Reverse Process,
Unconditional Image Generation,
U-Net,
Noise Schedulers,
Positional Embedding,

How to Cite

1.
Kumar Bhatt S, Srinivasan DS, Prakash P. Brain Tumor Segmentation Pipeline Model Using U-Net Based Foundation Model. Data and Metadata [Internet]. 2023 Dec. 30 [cited 2024 Jun. 29];2:197. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/197

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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Vol. 2 (2023)
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