mkang315/CST-YOLO
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
This tool helps medical researchers and laboratory technicians accurately identify and count different types of blood cells from microscope images. You feed it digital images of blood samples, and it precisely outlines and categorizes red blood cells, white blood cells, and platelets within those images. This is designed for professionals in hematology, pathology, and medical diagnostics who need efficient and reliable cell analysis.
Use this if you need an automated and highly accurate way to detect and classify blood cells in medical imaging, particularly for research or diagnostic support.
Not ideal if you are looking for a general-purpose object detection tool outside of blood cell analysis or if you lack the technical expertise to set up a machine learning model.
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75
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19
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 15, 2025
Commits (30d)
0
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