Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Leukemia Cancer Detection Using Various Deep Learning Algorithms
View through CrossRef
Leukemia is a type of blood cancer. Leukemia is cancer that begins in the blood cells. The lymphocytes and other blood cells are created in the bone marrow. When a person has leukemia the bone marrow does not function properly. Leukemia cells are produced by the bone marrow. Leukemia cells are mainly referred to as rupture. These naive cancer cells block the cells that create the bone marrow. In this paper, various approaches to the classification automatic detection of leukemia are described. The experiment was successfully implemented in Kaggle. Deep Learning algorithms were largely used in the treatment of Leukemia for the classification detection of its presence in a patient. The paper describes Convolutional Neural Networks (CNN) and Visual Geometry Group-16(VGG-16) algorithms that are used to categorize leukemia into its sub-types and presents a comprehensive study of these algorithms.
American Scientific Publishing Group
Title: Leukemia Cancer Detection Using Various Deep Learning Algorithms
Description:
Leukemia is a type of blood cancer.
Leukemia is cancer that begins in the blood cells.
The lymphocytes and other blood cells are created in the bone marrow.
When a person has leukemia the bone marrow does not function properly.
Leukemia cells are produced by the bone marrow.
Leukemia cells are mainly referred to as rupture.
These naive cancer cells block the cells that create the bone marrow.
In this paper, various approaches to the classification automatic detection of leukemia are described.
The experiment was successfully implemented in Kaggle.
Deep Learning algorithms were largely used in the treatment of Leukemia for the classification detection of its presence in a patient.
The paper describes Convolutional Neural Networks (CNN) and Visual Geometry Group-16(VGG-16) algorithms that are used to categorize leukemia into its sub-types and presents a comprehensive study of these algorithms.
Related Results
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Abstract
A cervical rib (CR), also known as a supernumerary or extra rib, is an additional rib that forms above the first rib, resulting from the overgrowth of the transverse proce...
Myosin-IIa Is Required for Leukemia Cell Extravasation and Its Inhibition Reduces Leukemia Dissemination and Prolongs Survival in a Mouse Model of Acute Lymphoblastic Leukemia
Myosin-IIa Is Required for Leukemia Cell Extravasation and Its Inhibition Reduces Leukemia Dissemination and Prolongs Survival in a Mouse Model of Acute Lymphoblastic Leukemia
Abstract
Background: Leukemia affects approximately 45,000 people each year in the USA with more than 20,000 fatalities. Many leukemia patients experience initial re...
STAT3 Mutations in Large Granular Lymphocytic Leukemia
STAT3 Mutations in Large Granular Lymphocytic Leukemia
Abstract
Abstract 1606
Introduction:
Large granular lymphocytic leukemia (LGL leukemia) is a rare lymphoprolifera...
Abstract 132: African polyherbal formulation alleviates benzene-induced leukemia in Wistar rats
Abstract 132: African polyherbal formulation alleviates benzene-induced leukemia in Wistar rats
Abstract
Background: Chemotherapy and radiotherapy are effective cancer treatment options but they are accompanied by serious side effects. Therefore, more effective...
A Systematic Literature Review on Leukemia Prediction Using Machine Learning
A Systematic Literature Review on Leukemia Prediction Using Machine Learning
Blood cancer is one of the most dangerous diseases in kids because it spreads throughout the body, damages healthy cells, and causes uncontrolled white blood cell growth. If it is ...
Edoxaban and Cancer-Associated Venous Thromboembolism: A Meta-analysis of Clinical Trials
Edoxaban and Cancer-Associated Venous Thromboembolism: A Meta-analysis of Clinical Trials
Abstract
Introduction
Cancer patients face a venous thromboembolism (VTE) risk that is up to 50 times higher compared to individuals without cancer. In 2010, direct oral anticoagul...
A Novel Anti-Cancer Vaccine Approach for the Treatment of High-Risk Leukemia in Children
A Novel Anti-Cancer Vaccine Approach for the Treatment of High-Risk Leukemia in Children
Introduction: There is strong experimental and clinical data to indicate the critical involvement of immune evasion in relapsed leukemia in children. A well-defined characteristic ...
Deep convolutional neural network and IoT technology for healthcare
Deep convolutional neural network and IoT technology for healthcare
Background Deep Learning is an AI technology that trains computers to analyze data in an approach similar to the human brain. Deep learning algorithms can find complex patterns in ...