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Title: :  DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES
PaperId: :  21770
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21770
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
MOSES RBANNARI AMMAN INSITITUE OF TECHNOLOGY
SARAVANA KUMAR NBANNARI AMMAN INSITITUE OF TECHNOLOGY
NAVEEN KUMAR J BBANNARI AMMAN INSITITUE OF TECHNOLOGY
SANGAVI NBANNARI AMMAN INSITITUE OF TECHNOLOGY

Abstract

Computer Science
Hematological analysis,Blood cell detection,Image segmentation,Machine learning Deep learning,Medical diagnosis,Healthcare innovation
Accurate and efficient analysis of blood cell populations is crucial for diagnosing various medical conditions and monitoring overall health. This project presents a novel approach to automate the detection and quantification of blood cells in human blood samples using microscopic images. Leveraging advanced image processing and machine learning techniques, this research aims to revolutionize haematological analysis by reducing human intervention and increasing diagnostic precision. The proposed system employs image segmentation to isolate individual blood cells from complex microscopic images, followed by classification into distinct cell types (e.g., red blood cells, white blood cells, and platelets). Utilizing deep learning models, the algorithm learns to recognize subtle variations in cell morphology and staining patterns, achieving remarkable accuracy in cell identification and counting. This technology promises to expedite blood cell analysis, making it more accessible and cost-effective while minimizing the risk of human error. Furthermore, it has the potential to advance medical research, improve disease diagnosis, and enhance patient care. By seamlessly integrating advanced image processing and machine learning techniques, this study seeks to transform haematological analysis by reducing manual intervention and elevating diagnostic precision. The proposed system utilizes YOLOv8's robust object detection capabilities to precisely identify and count individual blood cells from intricate microscopic images, ultimately enhancing the efficiency and accuracy of blood cell analysis. This project represents a significant step towards harnessing the power of modern image analysis and artificial intelligence for the benefit of healthcare and biomedical sciences.

Citations

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IJARIIE MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. "DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1671-1678
MLA MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. "DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1671-1678.
APA MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, & SANGAVI N. (2023). DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1671-1678.
Chicago MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. "DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1671-1678.
Oxford MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. 'DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1671-1678. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECTION_OF_BLOOD_CELL_IN_HUMAN_BLOOD_SAMPLES_USING_MICROSCOPIC_IMAGES_ijariie21770.pdf (Accessed : ).
Harvard MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. (2023) 'DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1671-1678IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECTION_OF_BLOOD_CELL_IN_HUMAN_BLOOD_SAMPLES_USING_MICROSCOPIC_IMAGES_ijariie21770.pdf (Accessed : )
IEEE MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N, "DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1671-1678, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECTION_OF_BLOOD_CELL_IN_HUMAN_BLOOD_SAMPLES_USING_MICROSCOPIC_IMAGES_ijariie21770.pdf [Accessed : ].
Turabian MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. "DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver MOSES R, SARAVANA KUMAR N, NAVEEN KUMAR J B, and SANGAVI N. DETECTION OF BLOOD CELL IN HUMAN BLOOD SAMPLES USING MICROSCOPIC IMAGES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 1671-1678. Available from: https://ijariie.com/AdminUploadPdf/DETECTION_OF_BLOOD_CELL_IN_HUMAN_BLOOD_SAMPLES_USING_MICROSCOPIC_IMAGES_ijariie21770.pdf
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