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Leukemia Prediction from Microscopic Images of Human Blood Cell Using HOG Feature Descriptor and Logistic Regression

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dc.contributor.author Abedy, Hossain
dc.contributor.author Ahmed, Faysal
dc.date.accessioned 2019-02-26T06:12:44Z
dc.date.available 2019-02-26T06:12:44Z
dc.date.issued 9/23/2018
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2944
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract Leukemia is a cancer of blood which originates in bone marrow causing disruption in the production of human blood cells. Earlier detection of leukemia is crucial due to its fatality. Detection of leukemia involves microscopic observation of human blood cells. Application of various image processing methods along with existing machine learning algorithm is a fast and convenient way to detect leukemia. These methods require extracting features from microscopic images of blood cells and applies machine learning algorithm to train and test a classifier based model which can predict leukemia with an acceptable accuracy. However, scarcity of publicly available image dataset and the inconsistency of the information provided from them make it more challenging while developing a model which can predict leukemia accurately. Besides the size of small datasets and the computational cost, memory evaluation and the required accuracy are also concerning issue. Keeping these drawbacks in mind, we proposed an efficient classifier based model which extract features from image dataset with and classify them accordingly. In this book, we have introduced an edge feature with HOG feature descriptor and Logistic Regression Classifier based model which can detect leukemia with an accuracy of almost 96%. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.subject Leukemia Prediction from Microscopic Images of Human Blood Cell en_US
dc.title Leukemia Prediction from Microscopic Images of Human Blood Cell Using HOG Feature Descriptor and Logistic Regression en_US
dc.type Thesis en_US


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