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.

Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data

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Jan 27, 2025
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MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection

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Dec 20, 2024
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Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence

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Jan 31, 2025
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From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI

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Jan 09, 2025
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A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis

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Dec 17, 2024
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Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Clinical Pathology Analysis

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Dec 12, 2024
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LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image

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Nov 30, 2024
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Deep BI-RADS Network for Improved Cancer Detection from Mammograms

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Nov 16, 2024
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Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer

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Jan 30, 2025
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Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

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Nov 14, 2024
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Figure 3 for Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
Figure 4 for Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
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