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In this research paper, we're looking at how This paper can make computers better at spotting different diseases in medical images. This paper got our idea from how our brains focus on important stuff when This paper look at things. This paper created a special tool that helps computers pay attention to the most important parts of medical pictures. This helps when medical images are messy and have lots of things in them. This paper did lots of tests using different medical pictures, and our idea made the computer do a much better job at telling what diseases are in the pictures. Additionally, This paper explain how our method helps us understand how the computer makes its decisions by showing us attention maps. This makes it clearer why the computer thinks in a certain way. Our study highlights how bringing together visual attention and deep learning can improve medical diagnoses and patient treatment. This is a big step forward in connecting computer vision and healthcare, aiming to make healthcare better.

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Multi-disease Classification and Prediction Using Dense Visual Attention Network and Residual Network for: A Computer Vision Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Deepak Upadhyay,
  • Sonal Malhotra,
  • Mridul Gupta,
  • Devansh Yadav

摘要

In this research paper, we're looking at how This paper can make computers better at spotting different diseases in medical images. This paper got our idea from how our brains focus on important stuff when This paper look at things. This paper created a special tool that helps computers pay attention to the most important parts of medical pictures. This helps when medical images are messy and have lots of things in them. This paper did lots of tests using different medical pictures, and our idea made the computer do a much better job at telling what diseases are in the pictures. Additionally, This paper explain how our method helps us understand how the computer makes its decisions by showing us attention maps. This makes it clearer why the computer thinks in a certain way. Our study highlights how bringing together visual attention and deep learning can improve medical diagnoses and patient treatment. This is a big step forward in connecting computer vision and healthcare, aiming to make healthcare better.