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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
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
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Published Paper Details
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| Paper Title: | An Interpretable Yolov8 Framework for Automated Leukemia Detection in Hematology Images |
| Authors Name: | Balaji R , G Nivethasri , Afraz S , Adhithiyan K , Basith M R |
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IJRTI_211801
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| Published Paper Id: | IJRTI2605065 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | Leukemia is a hematological cancer that is life threatening where early and accurate diagnosis is important in enhancing the survival of the patients and in informing them on the right course of action in terms of treatment. Extremity exploration of peripheral bodily fluid vilification Ansehen is strenuous, time-consuming and prone to bury percipient variance, which emphasizes the importance of automated and dependable computer-assisted diagnostic systems. In this survey, our recommendation is a solid acquisition-based method to the automated detection and localization of leukemia cells with the YOLOv8 object detection framework.. The theoretical account was trained and validated with a large dataset of annotate microscopic images of blood smears of various morphological features of leukemic cells. Data attractive, increase, and transfer learning methods were used to improve the model generalization and hardiness. The proposed YOLOv8 showed great detection and high preciseness, high call back, and mean average precision, and was time period inference capable in clinical screening settings. The comparison of the proposed model with the traditional image processing algorithms and the available deep learning strategies showed that the proposed model is characterized by better detection speed and competitive accuracy. According to the results of the inquiry, the projected system can be an effective and reliable instrument in automated leukemia cell detection to lessen the workload of the diagnostic procedure and assist hematologists with the process of large-scale screening and early diagnosis. |
| Keywords: | Leukemia detection; Peripheral blood smear; Medical image analysis; Hematological malignancy. |
| Cite Article: | "An Interpretable Yolov8 Framework for Automated Leukemia Detection in Hematology Images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a534-a539, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605065.pdf |
| Downloads: | 00096 |
| 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 |
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Published Paper ID: IJRTI2605065
Registration ID:211801
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a534-a539 Country: Chennai, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605065 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605065 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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