Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images
Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the overproduction of lymphocytes by the bone marrow in the human body. It is one of the common types of cancer in children, which has a fair chance of being cured. However, this may even occur in adults, and the chances...
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MDPI AG
2022-09-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/10/10/1812 |
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| author | Niranjana Sampathila Krishnaraj Chadaga Neelankit Goswami Rajagopala P. Chadaga Mayur Pandya Srikanth Prabhu Muralidhar G. Bairy Swathi S. Katta Devadas Bhat Sudhakara P. Upadya |
| author_facet | Niranjana Sampathila Krishnaraj Chadaga Neelankit Goswami Rajagopala P. Chadaga Mayur Pandya Srikanth Prabhu Muralidhar G. Bairy Swathi S. Katta Devadas Bhat Sudhakara P. Upadya |
| author_sort | Niranjana Sampathila |
| collection | DOAJ |
| description | Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the overproduction of lymphocytes by the bone marrow in the human body. It is one of the common types of cancer in children, which has a fair chance of being cured. However, this may even occur in adults, and the chances of a cure are slim if diagnosed at a later stage. To aid in the early detection of this deadly disease, an intelligent method to screen the white blood cells is proposed in this study. The proposed intelligent deep learning algorithm uses the microscopic images of blood smears as the input data. This algorithm is implemented with a convolutional neural network (CNN) to predict the leukemic cells from the healthy blood cells. The custom ALLNET model was trained and tested using the microscopic images available as open-source data. The model training was carried out on Google Collaboratory using the Nvidia Tesla P-100 GPU method. Maximum accuracy of 95.54%, specificity of 95.81%, sensitivity of 95.91%, F1-score of 95.43%, and precision of 96% were obtained by this accurate classifier. The proposed technique may be used during the pre-screening to detect the leukemia cells during complete blood count (CBC) and peripheral blood tests. |
| first_indexed | 2024-03-09T20:11:05Z |
| format | Article |
| id | doaj.art-d4bd950291784ee09dfe43a393eb2245 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-09T20:11:05Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-d4bd950291784ee09dfe43a393eb22452023-11-24T00:18:34ZengMDPI AGHealthcare2227-90322022-09-011010181210.3390/healthcare10101812Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear ImagesNiranjana Sampathila0Krishnaraj Chadaga1Neelankit Goswami2Rajagopala P. Chadaga3Mayur Pandya4Srikanth Prabhu5Muralidhar G. Bairy6Swathi S. Katta7Devadas Bhat8Sudhakara P. Upadya9Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Mechanical & Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaManipal Institute of Management, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaDepartment of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaManipal School of Information Science, Manipal Academy of Higher Education, Manipal 576104, Karnataka, IndiaAcute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the overproduction of lymphocytes by the bone marrow in the human body. It is one of the common types of cancer in children, which has a fair chance of being cured. However, this may even occur in adults, and the chances of a cure are slim if diagnosed at a later stage. To aid in the early detection of this deadly disease, an intelligent method to screen the white blood cells is proposed in this study. The proposed intelligent deep learning algorithm uses the microscopic images of blood smears as the input data. This algorithm is implemented with a convolutional neural network (CNN) to predict the leukemic cells from the healthy blood cells. The custom ALLNET model was trained and tested using the microscopic images available as open-source data. The model training was carried out on Google Collaboratory using the Nvidia Tesla P-100 GPU method. Maximum accuracy of 95.54%, specificity of 95.81%, sensitivity of 95.91%, F1-score of 95.43%, and precision of 96% were obtained by this accurate classifier. The proposed technique may be used during the pre-screening to detect the leukemia cells during complete blood count (CBC) and peripheral blood tests.https://www.mdpi.com/2227-9032/10/10/1812acute lymphoblastic leukemia (ALL)blood smearconvolutional neural networksdeep learningwhite blood cells |
| spellingShingle | Niranjana Sampathila Krishnaraj Chadaga Neelankit Goswami Rajagopala P. Chadaga Mayur Pandya Srikanth Prabhu Muralidhar G. Bairy Swathi S. Katta Devadas Bhat Sudhakara P. Upadya Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images Healthcare acute lymphoblastic leukemia (ALL) blood smear convolutional neural networks deep learning white blood cells |
| title | Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images |
| title_full | Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images |
| title_fullStr | Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images |
| title_full_unstemmed | Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images |
| title_short | Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images |
| title_sort | customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images |
| topic | acute lymphoblastic leukemia (ALL) blood smear convolutional neural networks deep learning white blood cells |
| url | https://www.mdpi.com/2227-9032/10/10/1812 |
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