[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 …
A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
Pneumonia is one of the diseases that people may encounter in any period of their lives.
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
A brain tumor is a mass that grows unevenly in the brain and directly affects human life. This
mass occurs spontaneously because of the tissues surrounding the brain or the skull …
mass occurs spontaneously because of the tissues surrounding the brain or the skull …
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
Lung cancer is a disease caused by the involuntary increase of cells in the lung tissue. Early
detection of cancerous cells is of vital importance in the lungs providing oxygen to the …
detection of cancerous cells is of vital importance in the lungs providing oxygen to the …
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
White blood cells are cells in the blood and lymph tissue produced by the bone marrow in
the human body. White blood cells are an important part of the immune system. The most …
the human body. White blood cells are an important part of the immune system. The most …
An efficient multi-level convolutional neural network approach for white blood cells classification
The evaluation of white blood cells is essential to assess the quality of the human immune
system; however, the assessment of the blood smear depends on the pathologist's …
system; however, the assessment of the blood smear depends on the pathologist's …
New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images
This article addresses a new method for the classification of white blood cells (WBCs) using
image processing techniques and machine learning methods. The proposed method …
image processing techniques and machine learning methods. The proposed method …
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
Unless adequate measures are taken for waste litter, the ecological balance may deteriorate
over time. The wastes disposed of the trash can be divided into two classes that are organic …
over time. The wastes disposed of the trash can be divided into two classes that are organic …
Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive …
Invasive ductal carcinoma cancer, which invades the breast tissues by destroying the milk
channels, is the most common type of breast cancer in women. Approximately, 80% of …
channels, is the most common type of breast cancer in women. Approximately, 80% of …
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 …