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An overview of still image compression standards .pdf
An overview of still image compression standards .pdf









an overview of still image compression standards .pdf

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an overview of still image compression standards .pdf

Tang et al., "Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas," The American Journal of Pathology, vol. Abate et al., "A conformation variant of p53 combined with machine learning identifies Alzheimer disease in preclinical and prodromal stages," Journal of personalized medicine, vol.

an overview of still image compression standards .pdf

Xie et al., "Early lung cancer diagnostic biomarker discovery by machine learning methods," Translational oncology, vol. Zhang et al., "Diagnosis of coronavirus disease 2019 pneumonia by using chest radiography: Value of artificial intelligence," Radiology, vol. Neiman Health Policy Institute, Reston, Virginia," 2012. Duszak, "Medical imaging: is the growth boom over," in "Neiman Report, Harvey L. This paper presents an overview of digital compression in the context of still medical images, along with a brief discussion on related regulatory and legal implications.

an overview of still image compression standards .pdf

However, nuances unique to medical data impose constraints to the application of digital compression in medical images.

#An overview of still image compression standards .pdf full

From a technical point of view, medical imaging could take full advantage of digital compression technology. Ordinarily, digital compression is a mainstay in the efficient management of digital media, including still images and video. However, it comes to a cost in the form of storage and telecommunication infrastructures needed to handle high-resolution images reliably. This improvement is indeed advantageous for medical practitioners. Concurrently, new developments in imaging techniques and sensor technology make possible the acquisition of increasingly detailed images of several organs of the human body. Imaging technology has long played a principal role in the medical domain, and as such, its use is widespread in the diagnosis and treatment of numerous health conditions.











An overview of still image compression standards .pdf