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Automated Brain Lesion Detection and Segmentation Using MR Images

-15% su kodu: ENG15
101,41 
Įprasta kaina: 119,31 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
101,41 
Įprasta kaina: 119,31 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 119.3100 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

Computer vision and machine learning allows the image data to be seen by a computer or machine as a person would see it. This is a complex concept for a computer to comprehend since computers do not understand the three-dimensional perspective as a person views and understands it. Computer vision has variety of applications in industry, medicine, surveillance systems, video analysis, robotic, and etc. Image segmentation is one of the most challenging topics in computer vision and machine learning. As an application of image segmentation in biomedical research is to localize some specific cells and tissues, e.g., tumor or stroke in magnetic resonance images (MRI). Medical image segmentation helps physicians to find these lesions more accurately, and it can be great source of information in emergency cases that specialist is not available. Therefore, it is an important process in computerized medical imaging. Automated segmentation of brain lesions in MRI is a difficult procedure due to the variability and complexity of the location, size, shape, and texture of these lesions. This study presents four algorithms for brain lesion detection and segmentation using MR images.

Informacija

Autorius: Nooshin Nabizadeh
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2015
Knygos puslapių skaičius: 272
ISBN-10: 3659717320
ISBN-13: 9783659717321
Formatas: 220 x 150 x 17 mm. Knyga minkštu viršeliu
Kalba: Anglų

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