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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
New Era Technology Machine Learning in Targeting Histopathology of Cancerous Cell: A Review
Authors
Ms.Roopam Tomar, Mr. Shailender Mishra, Ms. Sushmita Mishra, Ms. Sakshi Sharma, Mr. Abhinav Arya
Keywords
Keywords: Artificial intelligence, cancer prognosis, Data integration, Oncology
Abstract
Globally, cancer has been associated with a significant morbidity rate. Although there have been significant advancements in screening, prognosis, control, and survivorship over the past few decades, there are still challenging circumstances in providing individualized and record-oriented care. Artificial intelligence (AI) is a branch of computer technology that is used for automation and prediction. It has become a promising solution to improve healthcare and promote accuracy in the field. Oncology AI programs include, but are not limited to, improving tumor molecular biology knowledge, optimizing most cancer investigations, and developing scientific practice (e.g., predicting the association of a few factors and outcomes - analysis and reaction). In this study, we examine the state of AI in cancer today, spanning its fundamentals, current advancements, and future prospects.
IJCRT's Publication Details
Unique Identification Number - IJCRT2408724
Paper ID - 268027
Page Number(s) - g518-g523
Pubished in - Volume 12 | Issue 8 | August 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ms.Roopam Tomar, Mr. Shailender Mishra, Ms. Sushmita Mishra, Ms. Sakshi Sharma, Mr. Abhinav Arya, "New Era Technology Machine Learning in Targeting Histopathology of Cancerous Cell: A Review", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 8, pp.g518-g523, August 2024, Available at :http://www.ijcrt.org/papers/IJCRT2408724.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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