Pothina Praveena

Publications

• Research Article   
  FSA-UNet: A four-stage-attention UNet based semantic segmentation for breast cancer detection
  Author(s): Pothina Praveena* and N. Suresh Kumars
  
  Breast cancer is a severe global health concern, accounting for a significant portion of the annual mortality rate among women. It now ranks first among female cancer cases globally, having a significant impact on both healthcare systems and society at large. This demonstrates clearly that early detection, precise diagnosis and appropriate disease management can all significantly improve the functioning of the healthcare facility. To address this, we offer a multi-attention-based UNet (FSAUNet). In particular, we suggest a residual encoder that enhances the backbone's fine-grained feature extraction capacity. It is built on a basic attention module. The underlying semantic representation of the provided feature map is reconstructed by applying multi-head self-attention on the lowest level feature, hence enabling fine-grained segmentation for various pixel categories. Then, to more.. Read More»
  

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