BLOOD CANCER DETECTION USING DEEP LEARNING MODELS

Registration ID: IJNRD_195192

Published ID: IJNRD2305402

DOI: Click Here to Get

VITHYA R , Kumaran E , Mathivanan T , Santha Kumar K , Siva P

CNN( complication Neural Network), ANN( Artificial Neural Networks), WBC( White Blood Cells), UML( Unified Modeling Language), VGG( Visual figure Group), ACC( Accurate).

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.

Published Paper   E-Certificate

VITHYA R, Kumaran E, Mathivanan T, Santha Kumar K, & Siva P (May-2023). BLOOD CANCER DETECTION USING DEEP LEARNING MODELS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e4-e15. https://ijnrd.org/papers/IJNRD2305402.pdf

Volume 8 Issue 5, May-2023

Pages : e4-e15

Paper Reg. ID: IJNRD_195192

Published Paper Id: IJNRD2305402

Downloads: 000121978

Research Area: Engineering

Country: KANCHIPURAM, TAMILNADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305402.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305402

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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