FPGA Based Image Segmentation for Medical Image Analysis for Disease Diagnosis

DOI

10.2991/978-94-6463-831-8_36How to use a DOI?

Keywords

FPGA; Image segmentation; telesurgery; MATLAB; Verilog

Abstract

Image segmentation plays a vital role in real-time medical image processing and is an important technique used in disease diagnosis allowing fast and accurate analysis of medical images. Field Programmable Gate Array (FPGA) is one of the prototyping platforms for implementing image segmentation operation due to its characteristics such as parallel processing capabilities, low latency, and energy efficiency. This paper provides implementation of FPGA-based image segmentation techniques along with their applications in medical diagnosis. It also focuses on the advantages of FPGAs over traditional CPU and GPU-based implementations. The paper also highlights recent advancements, challenges, and future research directions in FPGA-based medical image segmentation.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mrinalini Joshi-Pangaonkar
AU  - Pratibha P. Shingare
AU  - Anjali Solanke
AU  - Rushikesh Chaukate
PY  - 2025
DA  - 2025/08/31
TI  - FPGA Based Image Segmentation for Medical Image Analysis for Disease Diagnosis
BT  - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
PB  - Atlantis Press
SP  - 297
EP  - 305
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-831-8_36
DO  - 10.2991/978-94-6463-831-8_36
ID  - Joshi-Pangaonkar2025
ER  -