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Empirical Study of Image Classification Techniques to Classify the Image using SVM:A Review

Anshu Dhabhai, Yogesh Kumar Gupta

Medical data are increasing continuously so we need to classify these data and classification is very important task which can help in finding the hidden information from the images and specialist to detect the affected area and disease early. In this paper image classification is our main objective and we try to understand that which type of data we need to classify and what are the classification techniques which we can apply to classify the medical images. Here we review on some classification techniques and we are mainly focus on the SVM (Support Vector Machine) technique. It is widely used today because it handles the multi dimensional data and gives the best and accurate result.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

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Индекс Коперника
Академические ключи
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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