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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Classification of White Blood Cells Using Modular Neural Network |
| Authors Name: | AKSHAY A UMBARKAR , DR. V. L. AGRAWAL |
| Unique Id: | IJSDR2106039 |
| Published In: | Volume 6 Issue 6, June-2021 |
| Abstract: | BLOOD tests are frequently employed to evaluate human health. One of the most straightforward blood tests is to quantify and identify the blood cell types. A complete blood count (CBC) is primarily a measure of these cellular components and is one of the most routinely ordered blood tests by clinicians. CBCs, especially white blood cell (WBC) count, provide physicians with key information valuable for diagnosing many different disease states including: anemia, leukemia, autoimmune disorders, fungal, and bacterial infections as well as Recognition and inspection of white blood cells in peripheral blood can assist hematologists in diagnosing many diseases such as AIDS, Leukemia, and blood cancer. Thus, this process is assumed as one of the most prominent steps in the hematological procedure. There are five main phases involved in the system. They are image pre-processing, extraction classifying and segmenting the Five Types of White Blood Cells. For classification neural classifiers in HISTOGRAM are used and also be using a more Efficient supervised learning approaches for more accurate and computationally efficient segmentation. The features are extracted from the Five Types of White Blood Cells using matlab program approach and these accurate features are used to train the neural classifier. Classification of Five Types of White Blood Cells is an essential research topic as it may be advantageous in monitoring many diseases. Therefore the need for fast, automatic, less expensive and accurate method to classify Five Types of White Blood Cells is of great realistic significance. The main aim of our project work to develop a Computer Aided diagnosed system for classification of Five Types of White Blood Cells. |
| Keywords: | MatLab, Nuero Solution Software, Microsoft excel, Various Transform Techniques. |
| Cite Article: | "Classification of White Blood Cells Using Modular Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 6, page no.256 - 261, June-2021, Available :http://www.ijsdr.org/papers/IJSDR2106039.pdf |
| Downloads: | 000337357 |
| Publication Details: | Published Paper ID: IJSDR2106039 Registration ID:193432 Published In: Volume 6 Issue 6, June-2021 DOI (Digital Object Identifier): Page No: 256 - 261 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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