Repository navigation

White-Blood-Cells-Classification

Public

About

An important problem in blood diagnostics is classifying different types of blood cells. Various samples of dead WBCs have been used to identify the nuclearity (mononuclear or polynuclear) of them and classified as well using Convolutional Neural Networks . The WBCs in the data set are lymphocytes , monocytes , neutrophils , eosinophils , basophil…

17 stars

1 watching

Report repository

Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
Original_Images		Original_Images
images		images
Basophil.jpg		Basophil.jpg
Eosinophil.jpg		Eosinophil.jpg
Lymphocyte.jpg		Lymphocyte.jpg
Monocyte.jpg		Monocyte.jpg
Neutrophil.jpg		Neutrophil.jpg
README.md		README.md
accuracy_curve.png		accuracy_curve.png
binary_model.h5		binary_model.h5
binary_training.ipynb		binary_training.ipynb
confusion_matrix.png		confusion_matrix.png
labels.csv		labels.csv
load_model.ipynb		load_model.ipynb
loss_curve.png		loss_curve.png
training_balanced.ipynb		training_balanced.ipynb
visualization.ipynb		visualization.ipynb

Repository files navigation

White-Blood-Cells-Classification

An important problem in blood diagnostics is classifying different types of blood cells.

Various samples of dead WBCs have been used to identify the nuclearity (mononuclear or polynuclear) of them and classified as well using Convolutional Neural Networks . The WBCs in the data set are lymphocytes , monocytes , neutrophils , eosinophils , basophils. I have obtained an accuracy of 98.6% on this validation set .

About

An important problem in blood diagnostics is classifying different types of blood cells. Various samples of dead WBCs have been used to identify the nuclearity (mononuclear or polynuclear) of them and classified as well using Convolutional Neural Networks . The WBCs in the data set are lymphocytes , monocytes , neutrophils , eosinophils , basophil…

17 stars

1 watching

Report repository

Releases

Packages

Contributors

Languages