cancer detection


Cancer detection using Artificial Intelligence (AI) involves leveraging advanced machine learning algorithms and techniques to identify and diagnose cancer from various medical data sources. The goal is to enhance early detection, improve diagnostic accuracy, and potentially reduce the need for invasive procedures.

Performance of a large language model-Artificial Intelligence based chatbot for counseling patients with sexually transmitted infections and genital diseases

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Dec 11, 2024
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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer

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Nov 22, 2024
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AI Guided Early Screening of Cervical Cancer

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Nov 19, 2024
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Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

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Dec 04, 2024
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Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy

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Nov 11, 2024
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FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection

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Nov 01, 2024
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Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images

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Oct 31, 2024
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Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy

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Nov 22, 2024
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Breast Tumor Classification Using EfficientNet Deep Learning Model

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Nov 26, 2024
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A lightweight Convolutional Neural Network based on U shape structure and Attention Mechanism for Anterior Mediastinum Segmentation

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Nov 01, 2024
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