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)
Fungus is extremely disreputable and dangerous for human health and cause various life-threatening disease to humans. Thousands of different fungus species exist in the world and spores always present in environment. Its sign and symptom are non-specific. Mucor mycosis also known as black fungus is a fungal infection that causes discoloration over nose and eye, blurred or double vision, chest pain, breathing difficulties, fever and cough.
The main aim of this project is to analyses and predict the infection probability based on black fungus images with the help of fungus detection system and algorithms to make automatically detects fungus using machine learning techniques. We are using in project CNN algorithm. The dataset used is raw data based on the pulmonary Mucor mycosis symptoms.
Keywords:
Machine Learning,CNN
Cite Article:
"Black Fungus Detection Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g428-g431, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305653.pdf
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ISSN:
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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