A Novel Solution of Using Deep Learning for White Blood Cells Classification: Enhanced Loss Function with Regularization and Weighted Loss (ELFRWL)

Optimized Binary Bat Algorithm for classification of White Blood Cells

(2019) Deepak Gupta et al.   MEASUREMENT

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

Automatic classification of cells in microscopic fecal images using convolutional neural networks

(2019) Xiaohui Du et al.   BIOSCIENCE REPORTS

Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study

(2019) Roopa B. Hegde et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

(2019) Sivaramakrishnan Rajaraman et al.   PeerJ

Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms

(2019) Vasundhara Acharya et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

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

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

Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks

(2018) Xipeng Pan et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

(2018) Gaobo Liang et al.   IEEE Access

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

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

A deep learning-based algorithm for 2-D cell segmentation in microscopy images

(2018) Yousef Al-Kofahi et al.   BMC BIOINFORMATICS

Convolutional neural network-based malaria diagnosis from focus stack of blood smear images acquired using custom-built slide scanner

(2017) Gopalakrishna Pillai Gopakumar et al.   Journal of Biophotonics

Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers

(2017) Jyoti Rawat et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology

(2017) Qian Wang et al.   Biomedical Optics Express

White blood cells identification system based on convolutional deep neural learning networks

(2017) A.I. Shahin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

A novel breast tumor classification algorithm using neutrosophic score features

(2016) Khalid M. Amin et al.   MEASUREMENT

Optimization of a Cell Counting Algorithm for Mobile Point-of-Care Testing Platforms

(2014) DaeHan Ahn et al.   SENSORS

Clinical performance evaluation of the CellaVision Image Capture System in the white blood cell differential on peripheral blood smears

(2013) Simone M Smits et al.   JOURNAL OF CLINICAL PATHOLOGY

Survival Outcome of Childhood Acute Lymphoblastic Leukemia in India

(2011) Ketan Prasad Kulkarni et al.   JOURNAL OF PEDIATRIC HEMATOLOGY ONCOLOGY

Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

(2009) Y. Al-Kofahi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING