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Author

R. Naidu

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Conference Aug 2026

A SAM-Guided ROI Quality Assessment Framework for Robust Breast Ultrasound Lesion Segmentation

Breast ultrasound images have the following challenges; speckle noise, low contrast, irregular lesion borders, large variability among patients, all of which make segmentation difficult. However, these studies also demonstrate several disadvantages including producing many false positives, failing to accurately define...

Trishita Acharjee, R. Naidu, S. V · 0 citations
Conference Jul 2026

An Attention-Enhanced CNN–Transformer Model for Brain Tumor Identification from MRI Scan

Magnetic resonance imaging (MRI) is very important for clinical diagnosis and treatment planning, because it can accurately detect and classify brain tumors. Traditional Convolutional Neural Network (CNN) models can extract local features, but they are not able to get long-range contextual information from complex medi...

Chandana T. N., R. Naidu, S. V · 0 citations
Conference Jul 2026

An Evidence-based Analysis of Mask Selection in Zero-Shot Medical Image Segmentation

Medical image segmentation plays an important role in clinical imaging for disease diagnosis, treatment planning, and follow-up analysis. Zero-shot segmentation models, like segment anything model are able to perform well but ultrasound images remain challenging due to speckle noise, low contrast and poor anatomical bo...

Trishita Acharjee, R. Naidu, Sangeetha.V · 0 citations

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