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)
Machine Learning (ML) is now influencing every part of the industry. Now, the ML is touching the healthcare sector. Detection of thoracic lung diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. We propose a SAR-net extending Mask R-CNN. We provide Chest X-Ray dataset with instance-level annotations. With our proposed model i.e Mask R-CNN model. We are enhancing the baseline of these model with significant improvements and it also increases the accuracy to atmost extent.
"NOVEL ALGORITHM FOR DETECTING THORACIC LUNG CAVITY ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.599-603, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2204068.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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