Automatic construction health image library using information retrieval technique

Health depiction and image are indispensable for patient instruction and self-care. Images characterize an imperative feature of the entire medical knowledge. Presently there is hardly any attempt in automatically construction inclusive image bases for universal health information customers. We proposed an approach to automatically construct a consumer -leaning image library contain images of individual organs, diseases, drugs and other medical entities. Health check imaging has become an important tool not simply in document patient presentation and clinical findings, but also considerate and managing various diseases. Image data present tangible visual evidence of disease manifestation. The number of digital images that needs to be acquired, analyzed, classified, stored and retrieved in the medical centers is exponentially growing with the advances in medical imaging technology. The goal of this work we proposed medical image retrieval technique for pathology images that implements recent improvements in feature representation, efficient indexing, and similarity matching.