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)
Lung cancer screening based on Low-Dose CT (LDCT) has broadly implemented for the effectiveness and fast execution. Radiologists who worked with highest LDCT conceal image face for more confrontation, despite tedious labour and robotic repetition, the simple deletion of minor nodules, the absence of uniform criteria, etc. This calls for an appropriate strategy to aid radiologists in raising the observing the Nodule precision for effectiveness, affordability. The novel-based Deep Neural Network Systems have the potential to be used in the approach for detecting lung nodules. However, the successfulness for Hospitalized practice has not successfully recognized.
The use for developing and estimate a Deep Learning Algorithm (DL) in Recognizing Pulmonary Nodules (PNs) for LDCT and investigate prevalence of Pulmonary nodules in China. Protocol with Reference Standard and Deep Learning Algorithm for finding Positive Nodules as researches done in Bland-Altman Examination. Lung Nodule Analysis (LUNA) is a Database which was available publically for the outermost Examination. The frequency of NCPNs also instigated and also different information about number, location, characteristics of pulmonary nodules from two radiologists.
Keywords:
Lung tumor, U-Net, Convolution Neural Networks.
Cite Article:
"Lung Tumor Segmentation Using U-Net Architecture", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.c9-c14, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212202.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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