Cargando…

Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods

BACKGROUND: Leukemia is fatal cancer in both children and adults and is divided into acute and chronic. Acute lymphoblastic leukemia (ALL) is a subtype of this cancer. Early diagnosis of this disease can have a significant impact on the treatment of this disease. Computational intelligence-oriented...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rezayi, Sorayya, Mohammadzadeh, Niloofar, Bouraghi, Hamid, Saeedi, Soheila, Mohammadpour, Ali
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601812/ https://www.ncbi.nlm.nih.gov/pubmed/34804144 http://dx.doi.org/10.1155/2021/5478157

Ejemplares similares

Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19
por: Rezayi, Sorayya, et al.
Publicado: (2022)

Evaluating the usability of a national health information system with heuristic method
por: Bouraghi, Hamid, et al.
Publicado: (2022)

The application of wearable smart sensors for monitoring the vital signs of patients in epidemics: a systematic literature review
por: Mohammadzadeh, Niloofar, et al.
Publicado: (2020)

Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review
por: Rezayi, Sorayya, et al.
Publicado: (2022)

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
por: Saeedi, Soheila, et al.
Publicado: (2023)

Applying Game-Based Approaches for Physical Rehabilitation of Poststroke Patients: A Systematic Review
por: Saeedi, Soheila, et al.
Publicado: (2021)

Requirement Specification and Modeling a Wearable Smart Blanket System for Monitoring Patients in Ambulance
por: Rezayi, Sorayya, et al.
Publicado: (2019)

Virtual Reality and Cardiac Diseases: A Systematic Review of Applications and Effects
por: Bouraghi, Hamid, et al.
Publicado: (2023)

Using data mining techniques to fight and control epidemics: A scoping review
por: Safdari, Reza, et al.
Publicado: (2021)

Identifying a minimum data set as a necessity to design a web-based personal health record for patients under chronic dialysis
por: Jeddi, Fatemeh R., et al.
Publicado: (2022)

Application of Digital Games for Speech Therapy in Children: A Systematic Review of Features and Challenges
por: Saeedi, Soheila, et al.
Publicado: (2022)

IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification
por: Pałczyński, Krzysztof, et al.
Publicado: (2021)

The willingness and attitudes of speech-language pathologists towards the use of mobile health technology: a survey study
por: Saeedi, Soheila, et al.
Publicado: (2023)

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
Publicado: (2020)

Artificial intelligence, machine learning, and deep learning
por: Campesato, Oswald
Publicado: (2020)

Artificial intelligence and deep learning in ophthalmology
por: Ting, Daniel Shu Wei, et al.
Publicado: (2019)

Artificial Intelligence and Deep Learning for Rheumatologists
por: McMaster, Christopher, et al.
Publicado: (2022)

Artificial intelligence driven by machine learning and deep learning
por: Zohuri, Bahman, et al.
Publicado: (2020)

Cognitive rehabilitation in people with autism spectrum disorder: a systematic review of emerging virtual reality-based approaches
por: Shahmoradi, Leila, et al.
Publicado: (2022)

Hospital Information Systems: The status and approaches in selected countries of the Middle East
por: Moghaddasi, Hamid, et al.
Publicado: (2018)

Deep reinforcement learning: frontiers of artificial intelligence
por: Sewak, Mohit
Publicado: (2019)

Deep Learning-Based Artificial Intelligence for Mammography
por: Yoon, Jung Hyun, et al.
Publicado: (2021)

Optimal Deep Transfer Learning-Based Human-Centric Biomedical Diagnosis for Acute Lymphoblastic Leukemia Detection
por: Hamza, Manar Ahmed, et al.
Publicado: (2022)

Development and evaluation of a clinical decision support system for early diagnosis of acute appendicitis
por: Shahmoradi, Leila, et al.
Publicado: (2023)

Artificial intelligence, machine learning, and deep learning in orthopedic surgery
por: Atik, O. Şahap
Publicado: (2022)

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
por: Gupta, Rohan, et al.
Publicado: (2021)

Retracted: Optimal Deep Transfer Learning-Based Human-Centric Biomedical Diagnosis for Acute Lymphoblastic Leukemia Detection
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

PADAr: physician-oriented artificial intelligence-facilitating diagnosis aid for retinal diseases
por: Lin, Po-Kang, et al.
Publicado: (2022)

Artificial intelligence with deep learning in nuclear medicine and radiology
por: Decuyper, Milan, et al.
Publicado: (2021)

Artificial Intelligence, Radiomics, and Deep Learning in Neuro-Oncology
por: Galldiks, Norbert, et al.
Publicado: (2021)

Artificial Intelligence Enterprise Management Using Deep Learning
por: Liu, Xiaofeng, et al.
Publicado: (2022)

Deep learning and artificial intelligence in dental diagnostic imaging
por: Katsumata, Akitoshi
Publicado: (2023)

Application of Artificial Intelligence Nuclear Medicine Automated Images Based on Deep Learning in Tumor Diagnosis
por: Sun, Jian, et al.
Publicado: (2022)

Models of Artificial Intelligence-Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms
por: Chen, Su
Publicado: (2022)

Diagnosis and Subclassification of Acute Lymphoblastic Leukemia
por: Chiaretti, Sabina, et al.
Publicado: (2014)

The role of psychosocial determinants in predicting adherence to treatment in patient with hypertension
por: Asgari, Mohammad Reza, et al.
Publicado: (2018)

Matlab deep learning: with machine learning, neural networks and artificial intelligence
por: Kim, Phil
Publicado: (2017)

Artificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics
por: Ashrafuzzaman, Md.
Publicado: (2021)

Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
por: Pettit, Rowland W., et al.
Publicado: (2021)

Artificial intelligence, machine learning, and deep learning in women’s health nursing
por: Jeong, Geum Hee
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_0e08uhlp6uqsqb8611uf4eb71t