NORMA eResearch @NCI Library

Identification of Acute Lymphocytic Leukemia (Blood Cancer) through microscopic images of blood samples

Waghela, Jignesh Anil (2021) Identification of Acute Lymphocytic Leukemia (Blood Cancer) through microscopic images of blood samples. Masters thesis, Dublin, National College of Ireland.

[img]
Preview
PDF (Master of science)
Download (2MB) | Preview
[img]
Preview
PDF (Configuration manual)
Download (2MB) | Preview

Abstract

Acute Lymphoblastic Leukemia (ALL) is indeed a type of leukemia (blood cancer) that can spread to various areas of the body and cause malignancy. Earlier identification and treatment of leukemia slows the spread of malignant cells throughout the body. Past studies have focused on identifying several forms of leukemia, including Acute Myeloid Leukemia, Chronic Lymphocytic Leukemia, and others. They’ve tried Support Vector Machine, Convolutional Neural Network, and a variety of other algorithms. The extraction of features from pictures was done using traditional manual approaches, which was a time-consuming task. In comparison to standard approaches, this research study concentrates on pre-processing and extraction and classification strategies that enables Acute Lymphoblastic Leukemia to be recognized quicker and more effectively. The fact that both healthy and malignant cells have the same morphological form posed a huge barrier in classifying them. The dataset for this study came from The Cancer Imaging Archive, and it was divided into 2 categories: normal cells and ALL(cancerous) cells. The use of transfer learning for extracting features in collaboration with CNN resulted in a weighted F1 score of 0.83, which significantly reduced the number of erroneous cases.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

Q Science > Life sciences > Medical sciences > Pathology > Tumors > Cancer
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Clara Chan
Date Deposited: 15 Dec 2021 11:50
Last Modified: 15 Dec 2021 11:50
URI: http://norma.ncirl.ie/id/eprint/5233

Actions (login required)

View Item View Item