[HTML][HTML] A review of artificial intelligence applications in hematology management: current practices and future prospects
Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …
garnered a great deal of attention in the field of cancer research by making a noticeable …
Classification of lymphocytes, monocytes, eosinophils, and neutrophils on white blood cells using hybrid Alexnet-GoogleNet-SVM
White blood cells (WBC), which form the basis of the immune system, protect the body from
foreign invaders and infectious diseases. While the number and structural features of WBCs …
foreign invaders and infectious diseases. While the number and structural features of WBCs …
Machine learning approaches for biomolecular, biophysical, and biomaterials research
CA Rickert, O Lieleg - Biophysics Reviews, 2022 - pubs.aip.org
A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake
images created within seconds—all those things that have been unthinkable for a long time …
images created within seconds—all those things that have been unthinkable for a long time …
An approach to classify white blood cells using convolutional neural network optimized by particle swarm optimization algorithm
Blood cell count is an important parameter in analysing a person's health condition. White
blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person …
blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person …
Analysis of cytology pap smear images based on ensemble deep learning approach
The fourth most prevalent cancer in women is cervical cancer, and early detection is crucial
for effective treatment and prognostic prediction. Conventional cervical cancer screening …
for effective treatment and prognostic prediction. Conventional cervical cancer screening …
Reduced number of parameters for predicting post-stroke activities of daily living using machine learning algorithms on initiating rehabilitation
The estimation of the Barthel Index scale (BI) is a significant method for measuring the
performance of Activities Daily Living (ADL), where the prediction of ADL is crucial for …
performance of Activities Daily Living (ADL), where the prediction of ADL is crucial for …
Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global sco** review
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 …
medical imagery analyses, with both approaches used to enhance the accuracy of …
A Comparative Analysis for Leukocyte Classification Based on Various Deep Learning Models Using Transfer Learning
Leukocytes, sometimes referred to as white blood cells (WBCs), are crucial to the healthy
operation of the human body. WBC distribution in human body are biological markers that …
operation of the human body. WBC distribution in human body are biological markers that …
A Review on Classification of White Blood Cells Using Machine Learning Models
R Asghar, S Kumar, A Shaukat - arxiv preprint arxiv:2308.06296, 2023 - arxiv.org
The machine learning (ML) and deep learning (DL) models contribute to exceptional
medical image analysis improvement. The models enhance the prediction and improve the …
medical image analysis improvement. The models enhance the prediction and improve the …
Exploring CNNs for Blood Subtype Recognition: Binary and Multi-Class Image Classification
Blood cell subtype classification accuracy is essential for the diagnosis of many illnesses
and ailments. This paper introduces a novel methodology for the classification of multi and …
and ailments. This paper introduces a novel methodology for the classification of multi and …