Knowledge distillation-based deep learning classification network for peripheral blood leukocytes

BCNet: A Novel Network for Blood Cell Classification

(2022) Ziquan Zhu et al.   Frontiers in Cell and Developmental Biology

Knowledge Distillation: A Survey

(2021) Jianping Gou et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

White blood cell type identification using multi-layer convolutional features with an extreme-learning machine

(2021) Altaf Khan et al.   Biomedical Signal Processing and Control

A self-adaptive approach for white blood cell classification towards point-of-care testing

(2021) Na Dong et al.   APPLIED SOFT COMPUTING

Deep Learning in the Classification of Stage of Liver Fibrosis in Chronic Hepatitis B with Magnetic Resonance ADC Images

(2021) Ziquan Zhu et al.   Contrast Media & Molecular Imaging

An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia

(2021) Pradeep Kumar Das et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of white blood cells using capsule networks

(2020) Yusuf Yargı Baydilli et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Combining DC-GAN with ResNet for blood cell image classification

(2020) Li Ma et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

A computer-assisted human peripheral blood leukocyte image classification method based on Siamese network

(2020) Yapin Wang et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Segmentation of leukocyte by semantic segmentation model: A deep learning approach

(2020) Reena M.Roy et al.   Biomedical Signal Processing and Control

LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks

(2019) Haoyi Fan et al.   Journal of Biophotonics

Recognition of peripheral blood cell images using convolutional neural networks

(2019) Andrea Acevedo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

White blood cells detection and classification based on regional convolutional neural networks

(2019) Hüseyin Kutlu et al.   MEDICAL HYPOTHESES

Classification of acute leukemia using medical-knowledge-based morphology and CD marker

(2018) Jakkrich Laosai et al.   Biomedical Signal Processing and Control

A novel algorithm for segmentation of leukocytes in peripheral blood

(2018) Haichao Cao et al.   Biomedical Signal Processing and Control

Fine-grained leukocyte classification with deep residual learning for microscopic images

(2018) Feiwei Qin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An Automatic and Robust Decision Support System for Accurate Acute Leukemia Diagnosis from Blood Microscopic Images

(2018) Zeinab Moshavash et al.   JOURNAL OF DIGITAL IMAGING

White blood cell (WBC) counting analysis in blood smear images using various color segmentation methods

(2018) Syadia Nabilah Mohd Safuan et al.   MEASUREMENT

Fast and robust segmentation of white blood cell images by self-supervised learning

(2018) Xin Zheng et al.   MICRON

Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection

(2018) Sonali Mishra et al.   Biomedical Signal Processing and Control

White Blood Cell Counts

(2015) Devon S. Chabot-Richards et al.   CLINICS IN LABORATORY MEDICINE

Deep learning

(2015) Yann LeCun et al.   NATURE

Leucocyte classification for leukaemia detection using image processing techniques

(2014) Lorenzo Putzu et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Acute leukemia detection rate by automated blood count parameters and peripheral smear review

(2014) E. Rabizadeh et al.   International Journal of Laboratory Hematology

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Automatic recognition of five types of white blood cells in peripheral blood

(2011) Seyed Hamid Rezatofighi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS