抽象的な

Research on content-based medical image retrieval algorithm

Jihong Fan


With the rapid development of science and technology and the improving medical service, medical image's role in clinical diagnosis and treatment becomes increasingly prominent. It has become a high-profile task to help the doctors pick out desired targets from massive medical images. Currently, techniques of text-based medical image retrieval have failed to meet the need of massive medical image retrieval. On the other hand, techniques of content-based medical image retrieval are already established and hold vast research potential. Starting with the introduction of matured techniques of medical image retrieval, the paper expounds on the evaluation criteria of the effectiveness of such techniques, then on the modified text-and-content-based medical image retrieval algorithm. The last part is the verification of the research conclusion with contrast experiments illustrated by the sample figures.


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  • キャス
  • Google スカラー
  • Jゲートを開く
  • 中国国家知識基盤 (CNKI)
  • サイテファクター
  • コスモスIF
  • 研究ジャーナル索引作成ディレクトリ (DRJI)
  • 秘密検索エンジン研究所
  • ユーロパブ
  • ICMJE

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