Sep 1, 2021 · This work presents an automatic classification method with the help of machine learning for blood cell classification from blood sample medical images.

The proposed method can identify and classify the function of each segmented White Blood Cells cell image as granular and non-granular White Blood Cells cell ...

WBCs-Net: type identification of white blood cells using convolutional neural network. Language: English; Authors: Baghel, Neeraj1 (AUTHOR) nbaghel777@gmail ...

In this paper, we propose a novel identification system for WBCs based on deep convolutional neural networks. Two methodologies based on transfer learning ...

Sep 1, 2021 · The proposed method can identify and classify the function of each segmented White Blood Cells cell image as granular and non-granular White ...

Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods.

Missing: identification | Show results with:identification

Oct 11, 2024 · This research introduces a Convolutional Neural Network for WBC classification. The proposed model utilizes a custom weighted-loss function during training.

Nov 22, 2022 · In this paper, for the classification of the WBC images, different variants of the CNN were implemented. Their performance was tested using the ...

WBCs-Net: type identification of white blood cells using convolutional neural network. https://doi.org/10.1007/s11042-021-11449-z ·.