Multimodality Imaging, Volume 2 (eBook, ePUB)

Heart, lungs and peripheral organs
Redaktion: Biswas, Mainak; Suri, Jasjit S

• Format: ePub

Produktbeschreibung

The intrinsic details of workings of DL models are a mystery to many. This volume strives to solve this mystery. The most popular DL models for medical imaging are convolution neural networks (CNN),VGG-SegNet, UNet etc. A brief outline is provided over these models. A chief or main advantage of these DL models is that the same architecture can be used for different types of data i.e., image, signals etc.

Over the years various DL models have been proposed to solve different problems in clinical sciences and medical imaging such as gene expression and biomedical imaging. Some genetic diseases can be identified only if particular gene is present or not. This involves a laborious process of gene data extraction, sequencing, identification etc., considering the fact that there are millions kind of genes. This volume discusses in brief some of DL-based applications in gene identification. The most popular application of DL is in medical imaging. The source of these images can be different, i.e., CT, MRI and US.

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Produktdetails

• Verlag: Institute of Physics Publishing
• Seitenzahl: 300
• Erscheinungstermin: 7. Dezember 2023
• Englisch
• ISBN-13: 9780750323529
• Artikelnr.: 69676033