IJRTI
International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 117

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Paper Title: Diagnosis of Cancer and Covid 19 using x-ray images
Authors Name: Abhigyan Pratap , Ojasvi Yadav , P Murali
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IJRTI_186566
Published Paper Id: IJRTI2305063
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: With a limited number of COVID-19 test kits available in medical facilities, it is important to develop and implement an automatic detection system as an alternative diagnosis option for COVID-19 detection that can be used on a commercial scale. Specifically, chest X-Ray images can be analyzed to identify the presence of COVID-19 in a patient. Due to the high availability of large-scale annotated image datasets, great success has been achieved using a convolutional neural network for image analysis and classification. Input is obtained in the form of chest x- rays images. Output results are acquired instantly in real-time which predicts if the person suffers from it Covid or lung cancer The state-of-the-art methods work on the RCNN algorithm which makes it less accurate and more time-consuming.
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Cite Article: "Diagnosis of Cancer and Covid 19 using x-ray images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.409 - 415, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305063.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2305063
Registration ID:186566
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 409 - 415
Country: Chengalpattu, Tamil Nadu, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305063
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305063
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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