INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Leukemia is a fatal order of cancer- related complaint that affects individualities of all periods, including children and grown-ups, and is a significant cause of death worldwide. Particularly, it's associated with White Blood Cells( WBC). thus, a rapid-fire and dependable cancer opinion is a critical demand for successful remedy to raise survival rates. presently, a homemade analysis of blood samples attained through bitsy images is done to diagnose this complaint, which is frequently veritably slow, time- consuming, and less accurate. To address this issues, Convolutional neural network( CNN) with deep infrastructures is being applied as it performs automatic point birth and learns complex high- position features in image bracket operations. This work proposed a different deep literacy models similar as Alexnet, Google Net and VGG- 16 models to classify white blood cell leukemia on intimately available dataset. The results demonstrated that the proposed CNN models are effective in leukemia cells bracket.
"BLOOD CANCER DETECTION USING DEEP LEARNING MODELS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e4-e15, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305402.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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