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.

Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis

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Apr 28, 2025
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Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images

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Apr 28, 2025
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The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review

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May 09, 2025
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Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising

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May 09, 2025
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An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology

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May 21, 2025
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Automated Quality Evaluation of Cervical Cytopathology Whole Slide Images Based on Content Analysis

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May 20, 2025
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Robustness and sex differences in skin cancer detection: logistic regression vs CNNs

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Apr 15, 2025
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CLIP-IT: CLIP-based Pairing for Histology Images Classification

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Apr 22, 2025
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MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification

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Apr 20, 2025
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Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis

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Apr 18, 2025
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