ReRNet: A deep learning network for classifying blood cells
Aims Blood cell classification helps detect various diseases. However, the current
classification model of blood cells cannot always get great results. A network that …
classification model of blood cells cannot always get great results. A network that …
Detection and classification of white blood cells with an improved deep learning-based approach
The analysis of white blood cells, which defend the body against deadly infections and
disease-causing substances, is an important issue in the medical world. The concentrations …
disease-causing substances, is an important issue in the medical world. The concentrations …
[HTML][HTML] A multi-criteria decision analysis framework for evaluating deep learning models in healthcare research
N Drissi, H El-Kassabi, MA Serhani - Decision Analytics Journal, 2024 - Elsevier
Selecting the appropriate deep learning (DL) model for healthcare research poses a
significant challenge due to the diversity of evaluation criteria and the complex nature of …
significant challenge due to the diversity of evaluation criteria and the complex nature of …
Comparative Analysis of Various Models for Potato Leaf Disease Classification using Deep Learning
B Krishnakumar, K Kousalya… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Potato is one among the most extensively consumed staple foods, ranking fourth on the
global food pyramid. Moreover, because of the global coronavirus outbreak, global potato …
global food pyramid. Moreover, because of the global coronavirus outbreak, global potato …
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 …
Classification of rice leaf diseases using deep learning
In agriculture the plants are affected by many kinds of diseases which are caused by
bacteria, fungus and viruses, identification of these diseases is very essential to control the …
bacteria, fungus and viruses, identification of these diseases is very essential to control the …
Sayısal haritalama teknikleri kullanılarak dna dizilimleri üzerinden lösemi hastalığının temel türlerinin yapay zeka tabanlı algoritmalar ile sınıflandırılması …
F Akalın - 2023 - acikerisim.sakarya.edu.tr
Kanser, vücudun herhangi bir yerindeki hücrelerin kontrolsüz çoğalması ile ortaya çıkan bir
hastalıktır. Bu hastalık ile vücudun düzenli bir şekilde çalışan mekanizması yavaş yavaş …
hastalıktır. Bu hastalık ile vücudun düzenli bir şekilde çalışan mekanizması yavaş yavaş …
[PDF][PDF] Anemia Detection using a Deep Learning Algorithm by Palm Images
S Dhanasekaran, NR Shanker - … journal on recent and innovation trends …, 2023 - core.ac.uk
Our aim is to detect anemia through a comparative analysis of three convolutional neural
network (CNN) models, namely EfficientNet B3, DenseNet121, and CNN AllNet. A collection …
network (CNN) models, namely EfficientNet B3, DenseNet121, and CNN AllNet. A collection …
White Blood Cell Classification using Deep Learning Convolutional Neural Network Model
White blood cells protects human body from the various diseases. This study aimed to
address the critical issue of distinguishing between different subtypes of Leukocytes (WBS) …
address the critical issue of distinguishing between different subtypes of Leukocytes (WBS) …
Enhancing Blood Subtype Recognition Through Convolutional Neural Networks: Binary and Multi-Class Approaches
P Shourie - … System and Information Technology for Sustainable …, 2024 - ieeexplore.ieee.org
In order to help with disease and condition diagnosis, this research focuses on accurately
classifying blood cell subtypes using Convolutional Neural Networks (CNNs). The principal …
classifying blood cell subtypes using Convolutional Neural Networks (CNNs). The principal …