AIMC Topic: Gene Amplification

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Automated Quantification of HER2 Amplification Levels Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
HER2 assessment is necessary for patient selection in anti-HER2 targeted treatment. However, manual assessment of HER2 amplification is time-costly, labor-intensive, highly subjective and error-prone. Challenges in HER2 analysis in fluorescence in si...
Breast Neoplasms Deep Learning Female Gene Amplification Receptor, ErbB-2 Image Interpretation, Computer-Assisted In Situ Hybridization, Fluorescence Humans
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Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization images.

Scientific reports Jun 16, 2023
Human epidermal growth factor receptor 2 (HER2) gene amplification helps identify breast cancer patients who may respond to targeted anti-HER2 therapy. This study aims to develop an automated method for quantifying HER2 fluorescence in situ hybridiza...
Artificial Intelligence Female Humans Gene Amplification Receptor, ErbB-2 In Situ Hybridization, Fluorescence Biomarkers, Tumor Deep Learning Breast Neoplasms
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Prediction of MYCN Gene Amplification in Pediatric Neuroblastomas: Development of a Deep Learning-Based Tool for Automatic Tumor Segmentation and Comparative Analysis of Computed Tomography-Based Radiomics Features Harmonization.

Journal of computer assisted tomography May 26, 2023
OBJECTIVE: MYCN oncogene amplification is closely linked to high-grade neuroblastoma with poor prognosis. Accurate quantification is essential for risk assessment, which guides clinical decision making and disease management. This study proposes an e...
Gene Amplification Neuroblastoma Child N-Myc Proto-Oncogene Protein Humans Deep Learning Tomography, X-Ray Computed
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Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma.

Scientific reports Feb 16, 2021
Radiogenomics uses machine-learning (ML) to directly connect the morphologic and physiological appearance of tumors on clinical imaging with underlying genomic features. Despite extensive growth in the area of radiogenomics across many cancers, and i...
Genes, erbB-1 Humans Patient-Specific Modeling Imaging Genomics Uncertainty Glioblastoma Machine Learning Gene Amplification Magnetic Resonance Imaging
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[Coexistence of mycosis fungoides and essential thrombocythemia with JAK2V617F].

Revista medica del Instituto Mexicano del Seguro Social Sep 2, 2019
BACKGROUND: The coexistence of myeloproliferative neoplasms (MPNs), specifically essential thrombocythemia and lymphoproliferative neoplasms, are a very rare finding with a frequency < 1%.
Thrombocythemia, Essential Mutation Mycosis Fungoides Janus Kinase 2 Gene Amplification Female Humans Aged
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[Not Available].

Bulletin du cancer Dec 1, 2021
HER2 is an important prognostic and predictive biomarker in breast cancer. Its detection makes it possible to define which patients will benefit from a targeted treatment. While assessment of HER2 status by immunohistochemistry in positive vs negativ...
Receptor, ErbB-2 Genes, erbB-2 Gene Amplification Artificial Intelligence Humans Breast Neoplasms Reproducibility of Results Algorithms Practice Guidelines as Topic Diagnosis, Computer-Assisted Machine Learning Female
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