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.

UNet++ and LSTM combined approach for Breast Ultrasound Image Segmentation

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Dec 07, 2024
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Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics

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Jan 16, 2025
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Full Field Digital Mammography Dataset from a Population Screening Program

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Nov 05, 2024
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Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO

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Dec 02, 2024
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T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging

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Nov 11, 2024
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MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

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Dec 02, 2024
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MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation

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Dec 02, 2024
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Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification

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Nov 08, 2024
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Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy

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Nov 25, 2024
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Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

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Nov 24, 2024
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