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[PDF][PDF] The deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing
J Logeshwaran, N Adhikari, SS Joshi… - … Journal of Health …, 2022 - pdfs.semanticscholar.org
In general, the various medical systems currently available provide insights into changes in
the tumor genome of patients with tumor sequencing. Most of the tumor DNA sequencing …
the tumor genome of patients with tumor sequencing. Most of the tumor DNA sequencing …
Advancing early leukemia diagnostics: A comprehensive study incorporating image processing and transfer learning
Disease recognition has been revolutionized by autonomous systems in the rapidly
develo** field of medical technology. A crucial aspect of diagnosis involves the visual …
develo** field of medical technology. A crucial aspect of diagnosis involves the visual …
[PDF][PDF] Hybrid Software Development Model Outcomes for In-House IT Team in the Manufacturing Industry
This paper will help the IT team in the Manufacturing Industry to learn about the outcomes of
the newly developed hyrid software development model. The hybrid model is depended on …
the newly developed hyrid software development model. The hybrid model is depended on …
Assessing the impact of eight EfficientNetB (0-7) models for leukemia categorization
Leukemia is the foremost common sort of childhood cancer and accounts for roughly 25% of
the pediatric cancers. These cells have been sectioned from minuscule pictures and are …
the pediatric cancers. These cells have been sectioned from minuscule pictures and are …
[PDF][PDF] Background Intelligence for Games: A Survey
Abstract Artificial Intelligence and Game Theory are the two mature concepts at different
paths which are connected and linked with each other. In past 50 years game theory and AI …
paths which are connected and linked with each other. In past 50 years game theory and AI …
[PDF][PDF] Temperature Measurement Using Fiber Bragg Grating Sensor for Industrial Applications
In this paper dimensions of a designed model is optimized to measure temperature with
increased sensitivity. Control and measure of high temperature with stability and sensitivity …
increased sensitivity. Control and measure of high temperature with stability and sensitivity …
Experimental Analysis of Deep Learning Techniques for Leukemia Cancer Classification using Micro Gene Array Dataset
Leukemia is a collection of fast-growing blood cancer diseases which are also
heterogeneous in terms of genetic and molecular contribution towards disease etiology …
heterogeneous in terms of genetic and molecular contribution towards disease etiology …
Develo** a Leukemia Diagnostic System Based on Hybrid and Ensemble Deep Learning Architectures
S Kim - 2022 International Communication Engineering and …, 2022 - ieeexplore.ieee.org
This research designed and implemented a leukemia diagnostic system targeted for a real
clinical environment based on deep learning approaches. The dataset consists of 15,135 …
clinical environment based on deep learning approaches. The dataset consists of 15,135 …
A Survey on Acute Leukemia Expression Data Classification Using Ensembles.
Acute leukemia is an aggressive disease that has high mortality rates worldwide. The error
rate can be as high as 40% when classifying acute leukemia into its subtypes. So, there is …
rate can be as high as 40% when classifying acute leukemia into its subtypes. So, there is …
Improving Acute Leukemia Classification through Recursive Feature Elimination and Multilayer Perceptron Analysis of Gene Expression Data
This study presents an approach to improving the classification of acute leukemia subtypes
using gene expression data analysis. Leveraging Recursive Feature Elimination (RFE) as a …
using gene expression data analysis. Leveraging Recursive Feature Elimination (RFE) as a …