brain tumour analysis detection von kumar bandyopadhyay (6 Ergebnisse)

Taschenbuch. Zustand: Neu. Brain Tumour Analysis and Detection | Brain Tumour | Samir Kumar Bandyopadhyay | Taschenbuch | 188 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202553230 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Early and accurate diagnosis of brain lesion are vital for determining accurate treatment and prognosis. However, the diagnosis is a very challenging task and can only be performed by specialists in neuroradiology. There are at least two specialists required to examine and confirm of each medical report on imaging investigations. Any difficulty may necessitate invasive tests such as biopsy and surgery. Currently, the standard lesion pathological classification is based on histological examination of tissue samples through biopsy. Therefore, radiologists are continuously seeking for greater diagnosis accuracy by modern medical imaging system. According to quantitative analysis of computer aided diagnosis (CAD), it may aid radiologists in the interpretation of the medical images. Recent studies showed that CAD can help to improve diagnostic accuracy of radiologists, lighten their increasing workload, reduce misinterpretation due to fatigue or overlooked and improve inter- and intra-reader variability. Manual task is mostly performed by drawing image regions slice-by-slice, limiting the human view and generating suboptimal outlines with limited consistency across slices. 188 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar Bandyopadhyay SamirProf. S.K.Bandyopadhyay is presently associated with the Bhowanipur Education Society as Academic Advisor. He was Senior Professor in the Department of Computer Science and Engineering of University of Calcut.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Early and accurate diagnosis of brain lesion are vital for determining accurate treatment and prognosis. However, the diagnosis is a very challenging task and can only be performed by specialists in neuroradiology. There are at least two specialists required to examine and confirm of each medical report on imaging investigations. Any difficulty may necessitate invasive tests such as biopsy and surgery. Currently, the standard lesion pathological classification is based on histological examination of tissue samples through biopsy. Therefore, radiologists are continuously seeking for greater diagnosis accuracy by modern medical imaging system. According to quantitative analysis of computer aided diagnosis (CAD), it may aid radiologists in the interpretation of the medical images. Recent studies showed that CAD can help to improve diagnostic accuracy of radiologists, lighten their increasing workload, reduce misinterpretation due to fatigue or overlooked and improve inter- and intra-reader variability. Manual task is mostly performed by drawing image regions slice-by-slice, limiting the human view and generating suboptimal outlines with limited consistency across slices.Books on Demand GmbH, Überseering 33, 22297 Hamburg 188 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Early and accurate diagnosis of brain lesion are vital for determining accurate treatment and prognosis. However, the diagnosis is a very challenging task and can only be performed by specialists in neuroradiology. There are at least two specialists required to examine and confirm of each medical report on imaging investigations. Any difficulty may necessitate invasive tests such as biopsy and surgery. Currently, the standard lesion pathological classification is based on histological examination of tissue samples through biopsy. Therefore, radiologists are continuously seeking for greater diagnosis accuracy by modern medical imaging system. According to quantitative analysis of computer aided diagnosis (CAD), it may aid radiologists in the interpretation of the medical images. Recent studies showed that CAD can help to improve diagnostic accuracy of radiologists, lighten their increasing workload, reduce misinterpretation due to fatigue or overlooked and improve inter- and intra-reader variability. Manual task is mostly performed by drawing image regions slice-by-slice, limiting the human view and generating suboptimal outlines with limited consistency across slices.