Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM 304
Collection Type Indeks Artikel prosiding/Sem
Title Digital pathology imaging-the next frontier in medical imaging, hal 1-6
Author Bikash Sabata;
Publisher 2012 International conference on advanced computer science and information systems (ICACSIS 2012) Depok, December 1st and 2nd 2012 Crystal of knowledge building Universitas Indonesia
Subject Digital pathology, medical imaging, tissue diagnostics, medical image analysis
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM 304 TERSEDIA
Tidak ada review pada koleksi ini: 40296
Pathologist have practiced medicine relatively unchanged over the last century to reader diagnosis of disease. However, over the last decade, the practice of pathology is undergoing a foundational change. In addition to the revolution in diagnostic biomarkers, we are seeing a ground-swell in new imaging technologies. This new image based technology offers significant opportunities to the practice . However, it comes at a cost-there are tecnology, regulatory, and methodological challenges which may derail the adoption process if not addresed proactively and innovatively. Pathology lags behind other medicine pratice such as radiology inn the adoption of digital workflow. Recently, significant advances have been made in the capture and management of the whole slide images used in pathology practice and this is leadings to an explosion in the data volume that completely eclipses the vast quantities of data being produced in radiology. Another area of technology challenges in related to the analysis of the analysis imagery data for detection. identification, recognition and quantification of the pathology in the slide. This clearly is the bleeding edge of digital pathology which will enable the creation of a paradigm shift in the practice of medicine. This paper explores the technological challenges energing in different areas of digital pathology, We present image capture technologies, the image analysis techniques, and the key computational challenges