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.

Single Shot AI-assisted quantification of KI-67 proliferation index in breast cancer

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Mar 25, 2025
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Automatic Robotic-Assisted Diffuse Reflectance Spectroscopy Scanning System

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Mar 11, 2025
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Tumor monitoring and detection of lymph node metastasis using quantitative ultrasound and immune cytokine profiling in dogs undergoing radiation therapy: a pilot study

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Mar 25, 2025
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AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT

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Mar 13, 2025
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GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis

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Feb 23, 2025
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Safety-Ensured Control Framework for Robotic Endoscopic Task Automation

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Mar 11, 2025
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Optimized Pap Smear Image Enhancement: Hybrid PMD Filter-CLAHE Using Spider Monkey Optimization

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Feb 21, 2025
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Requirements for Quality Assurance of AI Models for Early Detection of Lung Cancer

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Feb 24, 2025
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Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification

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Feb 22, 2025
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TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound

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Feb 20, 2025
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