Skip to main content

Save up to 20% on Elsevier print and eBooks with free shipping. No promo code needed.

Save up to 20% on print and eBooks.

Mining Biomedical Text, Images and Visual Features for Information Retrieval

1st Edition - September 1, 2024

Editors: Sujata Dash, Subhendu Kumar Pani, Wellington Pinheiro Dos Santos, Jake Y Chen

Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 4 5 2 - 2
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 4 5 1 - 5

Mining Biomedical Text, Images and Visual Features for Information Retrieval provides broad coverage of the concepts, themes, and instrumentalities of the important, evolvi… Read more

Mining Biomedical Text, Images and Visual Features for Information Retrieval

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote
Mining Biomedical Text, Images and Visual Features for Information Retrieval provides broad coverage of the concepts, themes, and instrumentalities of the important, evolving area of biomedical text, images, and visual features towards information retrieval. The book aims to encourage an even wider adoption of IR methods for assisting in problem-solving and to stimulate research that may lead to additional innovations in this area of research. Topics covered include Internet of Things for health informatics; data privacy; smart healthcare; medical image processing; 3D medical images; evolutionary computing; deep learning; medical ontology; linguistic indexing; lexical analysis; and domain specific semantic categories in biomedical applications. This is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work.