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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 22189
Article Published : 8705
Total Authors : 22904
Total Reviewer : 820
Total Countries : 161
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Published Paper Details
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| Paper Title: | Pioneering Precision: Blood Cancer Detection Utilizing EfficientNet-B6 for Image-Based Analysis |
| Authors Name: | Sunkara Pravallika Vaishnavi , Matangi Sarojini Devi , Penumudi Likitha Sri , Thopula Guna Raji , Tadiparthi Mothilal |
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IJRTI_202557
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| Published Paper Id: | IJRTI2504160 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This is the first work utilizing a novel approach to blood malignancy detection, based on a well-performing convolutional neural network (CNN) that can adjust its weights through the efficient net generation process, EfficientNet-B6, and is optimized on a large corpus of blood smears. In order to solve the problem of low-quality data, like biomedical images, the process creates virtual patients that exist in a 3D virtual environment. Through these, an attempt is made to manage data flow outs, like the ones the user is dealing with, in an efficient manner. When the quality model is used well, 98.21% of patients receive an initial diagnosis of blood cancer. Despite the scar, there is no point in talking about possible model concepts to make up for a missing diagnostic conclusion. All things considered, haematologists and oncologists may find this technology indispensable and beneficial in their work. |
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| Cite Article: | "Pioneering Precision: Blood Cancer Detection Utilizing EfficientNet-B6 for Image-Based Analysis", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 4, page no.b510-b514, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504160.pdf |
| Downloads: | 000537 |
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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 |
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Published Paper ID: IJRTI2504160
Registration ID:202557
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b510-b514 Country: Gudivada, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504160 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504160 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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