Detection and classification of immature leukocytes for diagnosis of acute myeloid leukemia using random forest algorithm

S Dasariraju, M Huo, S McCalla - Bioengineering, 2020 - mdpi.com
Acute myeloid leukemia (AML) is a fatal blood cancer that progresses rapidly and hinders
the function of blood cells and the immune system. The current AML diagnostic method, a …

Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review

R Asghar, S Kumar, A Shaukat, P Hynds - PloS one, 2024 - journals.plos.org
Machine learning (ML) and deep learning (DL) models are being increasingly employed for
medical imagery analyses, with both approaches used to enhance the accuracy of …

Entropy Measurements for Leukocytes' Surrounding Informativeness Evaluation for Acute Lymphoblastic Leukemia Classification

K Pałczyński, D Ledziński, T Andrysiak - Entropy, 2022 - mdpi.com
The study of leukemia classification using deep learning techniques has been conducted by
multiple research teams worldwide. Although deep convolutional neural networks achieved …

Akut Lenfoblastik Löseminin Makine Öğrenimi ile Sınıflandırılması

ABV Malkoçoğlu, İ İşeri - SETSCI-Conference Proceedings, 2019 - set-science.com
SETSCI Conference Proceedings SETSCI Conference Proceedings Home Information Aims &
Scope For Authors For Conference Organizers For Editors Peer Review Editorial Board Journals …

Embryo Spatial Model Reconstruction

D Dirvanauskas, R Maskeliūnas, V Raudonis… - … Science and Its …, 2020 - Springer
Time lapse microscopy offered new solutions to study embryo development process. It
allows embryologist to monitor embryo growth in real time and evaluate them without …