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.

Automated Quality Evaluation of Cervical Cytopathology Whole Slide Images Based on Content Analysis

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May 20, 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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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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MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis

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Apr 27, 2025
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Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation

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Apr 30, 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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UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation

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May 04, 2025
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A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study

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Apr 08, 2025
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