International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Implementation towards Blood Cancer Detection with Convolutional Neural Network

Author(s) Priyanka Bhagwat Nagargoje, Dr. M.A.Wakchaure
Country India
Abstract This Blood cancer is a life-threatening disease that requires early and accurate detection for effective treatment. In this project, we present a novel approach for blood cancer detection using a Convolutional Neural Network (CNN) model. The CNN model is trained on a dataset comprising cancer and normal blood cell images. Through extensive analysis and evaluation, we achieve a high level of accuracy in distinguishing between cancerous and normal blood cells. To evaluate the performance of our model, we conducted tests on a separate set of cancer and normal blood cell images. The accuracy of our model was determined by comparing the predicted labels with the ground truth labels. The results demonstrate that our CNN model achieves a commendable accuracy rate, making it a promising tool for blood cancer detection. Furthermore, we discuss the significance of our findings and their potential implications for early diagnosis and improved treatment outcomes. The robustness and reliability of our model contribute to its practical utility in clinical settings. By enabling early detection of blood cancer, our approach has the potential to positively impact patient outcomes and enhance the efficiency of treatment strategies. In conclusion, this project presents a novel approach for blood cancer detection using a CNN model. The results demonstrate the effectiveness of our model in accurately distinguishing between cancerous and normal blood cells. The proposed method holds promise for improving blood cancer diagnosis and ultimately contributing to better patient care.
Keywords Deep Learning, Convolutional Neural Networks, Image Processing, Multiple Myeloma
Field Computer Applications
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-11-07
Cite This Implementation towards Blood Cancer Detection with Convolutional Neural Network - Priyanka Bhagwat Nagargoje, Dr. M.A.Wakchaure - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8299
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.8299
Short DOI https://doi.org/gs38mv

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