Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network

Feature Extraction of White Blood Cells Using CMYK-Moment Localization and Deep Learning in Acute Myeloid Leukemia Blood Smear Microscopic Images

(2022) Tusneem Ahmed M. Elhassan et al.   IEEE Access

Morphological, fractal, and textural features for the blood cell classification: the case of acute myeloid leukemia

(2021) Marko Dinčić et al.   EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS

Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network

(2020) Khaled Almezhghwi et al.   Computational Intelligence and Neuroscience

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

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

White blood cell differential count of maturation stages in bone marrow smear using dual-stage convolutional neural networks

(2017) Jin Woo Choi et al.   PLoS One

Feature Analysis and Automatic Identification of Leukemic Lineage Blast Cells and Reactive Lymphoid Cells from Peripheral Blood Cell Images

(2016) Laura Bigorra et al.   JOURNAL OF CLINICAL LABORATORY ANALYSIS

Morphological region-based initial contour algorithm for level set methods in image segmentation

(2016) Abdolvahab Ehsani Rad et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Clinical and laboratory features of seven patients with acute myeloid leukemia (AML)-M2/M3 and elevated myeloblasts and abnormal promyelocytes

(2014) GanLin He et al.   Cancer Cell International