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This research paper covers the methods employed by neural networks in processing medical images, classification, and segmentation, with particular emphasis on CNNs and RNNs. It reviews a range of literature to evaluate the effectiveness of those techniques in areas like disease detection, classification, and segmentation. This study summarizes and compares existing literature on the common DAP setup, trending setups, and challenges with an aim to resolve the suitability of each method for future use. It will assist researchers and practitioners in having informed decisions while proceeding with the neural network advancements in healthcare.

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Supervised Learning and Deep Learning for Enhanced Precision and Advancements in Medical Image Segmentation: A Comprehensive Survey

  • 会议论文

  • 发表日期：

    2026年

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  • Mansiba Gohil,
  • Nidhi Dhinoja,
  • Tapan Nahar,
  • Vijay Dubey,
  • Chandrasinh Parmar

摘要

This research paper covers the methods employed by neural networks in processing medical images, classification, and segmentation, with particular emphasis on CNNs and RNNs. It reviews a range of literature to evaluate the effectiveness of those techniques in areas like disease detection, classification, and segmentation. This study summarizes and compares existing literature on the common DAP setup, trending setups, and challenges with an aim to resolve the suitability of each method for future use. It will assist researchers and practitioners in having informed decisions while proceeding with the neural network advancements in healthcare.