 |
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)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21665
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Disease prediction based on classification of blood cells smear images |
| Authors Name: | trupti sonar , Mr. Sagar Dhanake , Sharvary Raut , Shivani Tarwade , Vaishnavi Sabale |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204487
|
| Published Paper Id: | IJRTI2506054 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Accurate and early diagnosis of blood-related disorders is crucial for effective treatment. Manual analysis of blood smear images is often time-consuming and dependent on expert availability, which can lead to delays and errors. This study proposes an automated framework using a Convolutional Neural Network (CNN) to classify blood cell types—such as red blood cells, white blood cells, and platelets—from microscopic images. Image enhancement and segmentation techniques are applied to improve clarity and feature extraction. The system predicts potential hematological conditions such as anemia, leukemia, and infections by analyzing morphological features of the cells. To enhance patient care, a rule-based module provides personalized dietary recommendations based on the predicted disease.The model achieved high accuracy, precision, and recall in classification tasks, confirming its effectiveness in detecting abnormal cells. A user-friendly interface supports real-time image upload, displays prediction results, and presents corresponding diet plans. This integration of diagnostic support and lifestyle guidance makes the system suitable for both clinical and at-home use. The proposed approach offers a practical solution for automated disease detection and personalized health management, particularly in resource-constrained environments. |
| Keywords: | Blood smear image classification, Convolutional Neural Network (CNN) , Disease prediction, , Blood cell segmentation, Dietary recommendation system ,Medical image analysis, Automated diagnosi |
| Cite Article: | "Disease prediction based on classification of blood cells smear images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a478-a483, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506054.pdf |
| Downloads: | 000484 |
| 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: IJRTI2506054
Registration ID:204487
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a478-a483 Country: Talegaon Dabhade/pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506054 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506054 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||