AIMC Topic: Eye Neoplasms

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Artificial intelligence to enhance the diagnosis of ocular surface squamous neoplasia.

Scientific reports Mar 20, 2025
To provide an artificial intelligence (AI) method using in vivo confocal microscopy (IVCM) to differentiate ocular surface squamous neoplasia (OSSN) from other lesions and compare the performance of well-known AI-related solutions. A dataset of 2,774...
Carcinoma, Squamous Cell Deep Learning Microscopy, Confocal Humans Artificial Intelligence Eye Neoplasms
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Deep learning-based intratumoral and peritumoral features for differentiating ocular adnexal lymphoma and idiopathic orbital inflammation.

European radiology Dec 19, 2024
OBJECTIVES: To evaluate the value of deep-learning-based intratumoral and peritumoral features for differentiating ocular adnexal lymphoma (OAL) and idiopathic orbital inflammation (IOI).
Image Interpretation, Computer-Assisted Orbital Neoplasms Orbital Pseudotumor Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Female Aged Adult Male Middle Aged Deep Learning Humans Eye Neoplasms Retrospective Studies
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Prediction model for ocular metastasis of breast cancer: machine learning model development and interpretation study.

BMC cancer Nov 29, 2024
BACKGROUND: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cells followed by malignant transformation, and it has the highest incidence among female malignant tumors. The metastasis of BC occurs through direct and...
Prognosis Retrospective Studies Female Humans Machine Learning Eye Neoplasms Breast Neoplasms Biomarkers, Tumor Middle Aged Risk Factors Aged Adult ROC Curve Logistic Models Lymphatic Metastasis
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Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Neuroradiology Jul 17, 2024
PURPOSE: To evaluate nnU-net's performance in automatically segmenting and volumetrically measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI.
Middle Aged Deep Learning Lymphoma Contrast Media Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Adult Sensitivity and Specificity Male Aged Aged, 80 and over Humans Eye Neoplasms Retrospective Studies Female
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Revolutionizing ocular cancer management: a narrative review on exploring the potential role of ChatGPT.

Frontiers in public health Dec 15, 2023
This paper pioneers the exploration of ocular cancer, and its management with the help of Artificial Intelligence (AI) technology. Existing literature presents a significant increase in new eye cancer cases in 2023, experiencing a higher incidence ra...
Technology Databases, Factual Humans Eye Neoplasms Artificial Intelligence Physicians
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A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.

European radiology Jun 8, 2022
OBJECTIVES: To evaluate the value of deep learning (DL) combining multimodal radiomics and clinical and imaging features for differentiating ocular adnexal lymphoma (OAL) from idiopathic orbital inflammation (IOI).
Lymphoma Magnetic Resonance Imaging Retrospective Studies Humans Deep Learning Eye Neoplasms Inflammation
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Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

European journal of radiology Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Aged Young Adult Adult Humans Female Melanoma Eye Neoplasms Reproducibility of Results Retrospective Studies Uveal Melanoma Support Vector Machine Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Image Enhancement Uveal Neoplasms Male Middle Aged Adolescent Child ROC Curve Logistic Models
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Exploration of potential key pathways and genes in multiple ocular cancers through bioinformatics analysis.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jul 15, 2019
PURPOSE: Primary cancers of the eye are common in ocular diseases. The objective of this study was to explore the underlying mechanisms and the potential target genes in multiple ocular cancers by bioinformatics approach.
Signal Transduction Eye Proteins Gene Ontology Humans Eye Neoplasms Gene Expression Profiling Computational Biology Gene Expression Regulation, Neoplastic
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