Related references
Note: Only part of the references are listed.DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning
Tulika Kakati et al.
BMC BIOINFORMATICS (2022)
A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods
Emine Cengil et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022)
Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction
Gianvito Pio et al.
BIOINFORMATICS (2022)
Transfer learning for medical image classification: a literature review
Hee E. Kim et al.
BMC MEDICAL IMAGING (2022)
Automated design for recognition of blood cells diseases from hematopathology using classical features selection and ELM
Muhammad Attique Khan et al.
MICROSCOPY RESEARCH AND TECHNIQUE (2021)
A self-adaptive approach for white blood cell classification towards point-of-care testing
Na Dong et al.
APPLIED SOFT COMPUTING (2021)
LeukoX: Leukocyte Classification Using Least Entropy Combiner (LEC) for Ensemble Learning
Sourodip Ghosh et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2021)
Leukocyte classification based on feature selection using extra trees classifier: a transfer learning approach
Diana Baby et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES (2021)
Detection of white blood cells using optimized qGWO
Prerna Sharma et al.
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS (2021)
A fused CNN model for WBC detection with MRMR feature selection and extreme learning machine
Fatih Ozyurt
SOFT COMPUTING (2020)
Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry
Maxim Lippeveld et al.
CYTOMETRY PART A (2020)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Ramprasaath R. Selvaraju et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
White blood cells detection and classification based on regional convolutional neural networks
Huseyin Kutlu et al.
MEDICAL HYPOTHESES (2020)
Interpolative Leishman-Stained transformation invariant deep pattern classification for white blood cells
M. P. Karthikeyan et al.
SOFT COMPUTING (2020)
Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology
Hanadi El Achi et al.
CANCERS (2020)
Squeeze-and-Excitation Networks
Jie Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network
Khaled Almezhghwi et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2020)
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
Mesut Togacar et al.
APPLIED SOFT COMPUTING (2020)
An improved deep learning based classification of human white blood cell images
Md Abu Ismail Siddique et al.
PROCEEDINGS OF 2020 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE) (2020)
Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study
Roopa B. Hegde et al.
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2019)
Digital morphology analyzers in hematology: ICSH review and recommendations
Alexander Kratz et al.
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY (2019)
Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance
Laura Bigorra et al.
JOURNAL OF CLINICAL PATHOLOGY (2019)
Leukocyte classification based on spatial and spectral features of microscopic hyperspectral images
Yifan Duan et al.
OPTICS AND LASER TECHNOLOGY (2019)
A survey on Image Data Augmentation for Deep Learning
Connor Shorten et al.
JOURNAL OF BIG DATA (2019)
An Automated Blood Cells Counting and Classification Framework using Mask R-CNN Deep Learning Model
Najmeddine Dhieb et al.
31ST INTERNATIONAL CONFERENCE ON MICROELECTRONICS (IEEE ICM 2019) (2019)
White Blood Cells Classification with Deep Convolutional Neural Networks
Ming Jiang et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2018)
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
Gaobo Liang et al.
IEEE ACCESS (2018)
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
Ling Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Deep Transfer Learning Ensemble for Classification
Chetak Kandaswamy et al.
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT I (IWANN 2015) (2015)
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
Adnan Mujahid Khan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Automatic recognition of five types of white blood cells in peripheral blood
Seyed Hamid Rezatofighi et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2011)
Share Paper
