Automated Blood Cell Detection System For Infection Diagnosis From Body Fluids

Author(s)	Mr. Suraj Surendra Khonde, Dr. Shivkumar Karale, Mr. Shreyansh Sunil Parkar, Mr. Pranay Satish Yawalkar, Ms. Radhika Sachin Wakhare, Ms. Pallavi Rajendraprasad Nagpure, Mr. Tushar Gowardhan Bodhe
Country	India
Abstract	Detecting and counting blood cells accurately is essential for diagnosing many medical conditions. Conventional methods such as manual counting can be time consuming, require expertise and prone to human errors. To overcome these challenges, our project uses a deep-learning based system that can recognize and count the blood cells from microscopic images. Our model helps in improving the speed and reliability and ease the testing process. The future versions of this model can enhance performance through advanced image processing.
Keywords	Blood Cell Detection; Blood Count; Deep Learning; Object Detection; Red Blood Cells; White Blood Cells; Neural Network.
Field	Medical / Pharmacy
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-11-28
DOI	https://doi.org/10.63363/aijfr.2025.v06i06.2144
Short DOI	https://doi.org/hbdswb

About AIJFR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-79-39-59	editor@aijfr.com

Advanced International Journal for Research