Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
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Brac University
2023
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10361-202302023-08-30T21:02:42Z Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia Amin, Sifatul Jawed, MD. Samin Rashed Raj, MD. Rejuan Ahmed Saimoon, MD. Sabbir Rayhan, MD. Rakibuzzaman Rasel, Annajiat Alim Reza, Tanzim Department of Computer Science and Engineering, Brac University Vision Transformer (ViT) Computer aided diagnosis Acute lymphoblastic leukemia Diagnostic imaging--Congresses. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 18-20). Blood cancer is a serious and potentially deadly type of cancer that affects the pro duction of blood cells in the body.Leukemia, lymphoma, and myeloma are the three primary kinds of blood cancer.Leukemia, which is the most common and deadly type of blood cancer, is characterized by the abnormal and unexpected development of white blood cells (leukocytes) in the bone marrow. Leukemia comes in two primary varieties: acute and chronic. Acute leukemia progresses more quickly and is more common in children, while chronic leukemia progresses more slowly. Early detec tion of leukemia is important for proper treatment, as it can be fatal if not treated promptly. One method of detecting leukemia is through imaging, which is quick and inexpensive and does not require specialized equipment or laboratory tests. How ever, manual classification of leukemia cells by hematologists can be time-consuming and prone to errors. In recent years, the preferred technique for vision application is convolutional neural networks (CNNs).CNN have demonstrated their effectiveness in automatically classifying medical images. However, their limited local receptive field can prevent them from learning global context information. An alternative to CNNs that has shown promise is the Vision Transformer (ViT), which uses self-attention between image patches to process visual information. However , Vit does not work very well without a large dataset so we are using the ISBI 2019 data set, a dataset of 10000+ images and this data set needs more polishing, we’re not just suggesting a transformer architecture for diagnosing ALL; we’re also laying the groundwork for its polishing and sharing every piece of code we’ve used in our research. Our Vit model produces an accuracy of 81.5%, and shows how it has potential to reach new heights. The suggested approach has the ability to accurately differentiate between cancer cells knows as B-lymphoblast cells and normal cell known as B-lymphoid precursors and can be utilized as an efficient technique for assisting in the effective discovery of acute lymphoblastic leukemia through computer assistance. Sifatul Amin MD. Samin Jawed MD. Rejuan Rashed Raj MD. Sabbir Ahmed Saimoon MD. Rakibuzzaman Rayhan B. Computer Science and Engineering 2023-08-30T08:29:11Z 2023-08-30T08:29:11Z 2023 2023-01 Thesis ID: 18101144 ID: 18101085 ID: 18301165 ID: 18101083 ID: 18101082 http://hdl.handle.net/10361/20230 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 20 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Vision Transformer (ViT) Computer aided diagnosis Acute lymphoblastic leukemia Diagnostic imaging--Congresses. |
| spellingShingle |
Vision Transformer (ViT) Computer aided diagnosis Acute lymphoblastic leukemia Diagnostic imaging--Congresses. Amin, Sifatul Jawed, MD. Samin Rashed Raj, MD. Rejuan Ahmed Saimoon, MD. Sabbir Rayhan, MD. Rakibuzzaman Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
| author2 |
Rasel, Annajiat Alim |
| author_facet |
Rasel, Annajiat Alim Amin, Sifatul Jawed, MD. Samin Rashed Raj, MD. Rejuan Ahmed Saimoon, MD. Sabbir Rayhan, MD. Rakibuzzaman |
| format |
Thesis |
| author |
Amin, Sifatul Jawed, MD. Samin Rashed Raj, MD. Rejuan Ahmed Saimoon, MD. Sabbir Rayhan, MD. Rakibuzzaman |
| author_sort |
Amin, Sifatul |
| title |
Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| title_short |
Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| title_full |
Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| title_fullStr |
Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| title_full_unstemmed |
Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| title_sort |
vision transformer (vit) approach in computer aided diagnosis of acute lymphoblastic leukemia |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/20230 |
| work_keys_str_mv |
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