S. P Archa

About

S. P. Archa is a researcher specializing in medical image analysis and deep learning, with a particular focus on brain tumor segmentation using convolutional neural networks (CNNs). Her most cited work, "Segmentation of Brain Tumor in MRI Images Using CNN with Edge Detection" (2018), has garnered 25 citations, demonstrating its impact in the field. This paper addresses the critical challenge of detecting gliomas—aggressive brain tumors that grow by diffuse infiltration into the brain's inner regions, making them difficult to visualize on the surface. Archa's contribution lies in integrating edge detection techniques with CNN architectures to enhance the accuracy of tumor boundary identification in MRI scans, thereby aiding in more effective treatment planning. Her research bridges computer vision and clinical diagnostics, offering practical solutions for non-invasive tumor analysis. With a focus on improving early detection and segmentation precision, Archa's work supports advancements in neuro-oncology and medical imaging, making her a notable figure in the application of AI to healthcare challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Segmentation of Brain Tumor in MRI Images Using CNN with Edge Detection

   25 citations · 2018

Key Collaborators

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