AIMC Topic: Neuroblastoma

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Machine Learning Approaches for Neuroblastoma Risk Prediction and Stratification.

Critical reviews in oncogenesis Jan 1, 2025
Machine learning (ML) holds great promise in advancing risk prediction and stratification for neuroblastoma, a highly heterogeneous pediatric cancer. By utilizing large-scale biological and clinical data, ML models can detect complex patterns that tr...
Humans Machine Learning Prognosis Risk Assessment Neuroblastoma
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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

Technology in cancer research & treatment Jan 1, 2024
PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning.
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Radiomics Male Infant Adolescent Child, Preschool Child ROC Curve Support Vector Machine Contrast Media Bone Marrow Bone Marrow Neoplasms Neuroblastoma
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[Development of a Deep Learning Algorithm for Classification of Neuroblastoma].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2019
In this paper, the classification and location of neuroblastoma in NMR images are realized by using Deep Neural Network(CNN) algorithm as the core technology. The module is integrated to realize the development of computer-aided diagnostic software. ...
Humans Neural Networks, Computer Algorithms Deep Learning Magnetic Resonance Imaging Neuroblastoma
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