Every year, approximately 2.3 million women around the world are diagnosed with breast cancer. @La Trobe University scientists Professor Brian Abbey, Dr Eugeniu Balaur and Peter MacCallum Cancer Centre's Professor Belinda Parker have developed NanoMslide, a revolutionary medical imaging tool that lights up abnormal cells making breast cancer diagnosis easier and more accurate. Show your support for this important research in our #ShapingAustraliaAwards24 problem solver category. Remember your vote matters! Vote now. 👇 https://ow.ly/kheR50UskHO #CancerResearch #WomensHealth #BreastCancerAwareness
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Alhamdulillah!!! Our paper, "Predictive modeling for breast cancer classification in Bangladeshi patients using machine learning and explainable AI," has been published in Scientific Reports, a Q1 Journal with an Impact Factor of 4.996! DOI: https://lnkd.in/gedGXNkS Jajakallah to the team for their dedication and innovative work in advancing breast cancer research. Let's keep pushing boundaries! #breastcancerresearch #machinelearning #ExplainableAI
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Exciting news today: This cancer institute, already using Ambu's aScope4 Cysto, is now adding the aScope 5 HD Cysto to support more advanced diagnostic cystoscopies for bladder cancer. 🙌🏼 Same monitor, different scope, HD technology + enhanced visibility with Advanced Red Contrast (ARC). #Ambu #singleuse #endoscopy Ambu USA
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Dedicated Head of Radiotherapy and Imaging at the ICR, specializing in Head & Neck cancers. Passionate about advancing breakthroughs, Prof. Kevin Harrington emphasizes the crucial role of CRIS Cancer Foundation donations in driving progress. Join the mission to make a significant impact on cancer research and patient outcomes. #CancerResearch #Breakthroughs #MakingADifference
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Hey everyone, 👋 Check out this article on a new potential breakthrough in healthcare. The AsymMirai model can predict breast cancer risk 1-5 years ahead. What's even better? It's not a black box like its older version from 2021. In healthcare, it's crucial for AI to build trust by being transparent about how it reaches its conclusions, rather than just spitting out results with complex algorithms behind the scenes. https://lnkd.in/gy6B6jx7
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Developed an Breast Cancer Classification System! Breast cancer classification plays a crucial role in early detection and treatment decisions. I'm thrilled to share my work on an AI system utilizing to improve this process. This system has the potential to . Watch this space for exciting updates on further development! **#BreastCancerAwareness #AIinHealthcare #MachineLearning #CancerResearch** InternPe
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You can view Virasoft's research article titled "Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer", available at Scientific Reports of Nature journal in 2023. The article, recognized as one of the most downloaded cancer research papers published by Scientific Reports in 2023, is among the Journal’s Cancer Articles Top 100 list. Access the article here: https://lnkd.in/dQABu44W Visit our website for more information: https://lnkd.in/dD8Hva5t #TubuleUNet #BreastCancerResearch #DeepLearning #WholeSlideImages #ScientificReports #Nature #CancerResearch #Top100Articles
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🌟 Day 24 Update: Implementing Decision Tree on Breast Cancer Dataset! 🎗️ Today, I implemented the Decision Tree algorithm on the breast cancer dataset and visualized the results. It was insightful to see how the model splits the data to make predictions. GitHub:https://lnkd.in/eMx6YkUr Excited to share the visualizations and insights from this important analysis! 💡 #MachineLearning #DecisionTree #BreastCancer #100DaysOfCode
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Don't miss our webinar on innovative cancer research! Our expert panel will discuss the relationship between HPV and cervical cancer, the importance of tumor spatial organization, and the latest in multi-omics and tumor mapping techniques. #cancerresearch #NGS #spatial https://lnkd.in/e5JRmtuZ
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We are happy to share a groundbreaking study on Breast Cancer Detection using Computational Techniques! Breast cancer is one of the most prevalent types of cancer among women, but early detection remains a challenge. This research aims to revolutionize the landscape by customizing treatment, improving diagnostic accuracy, and empowering patients with crucial knowledge. Varsha Peddamallu Javvaji Jyoshna Pavan Guduru Pasalapudi Venkat Check out the published paper here: https://lnkd.in/g4fhDKCb #BreastCancerAwareness #Research #Healthcare #ComputationalTechniques #researchpaper #klu #kluniversity #klcse
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📰Today we share the #article "Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning" 👨🔬by Rahman Shafique et al. Yeungnam University 📌Find out more here: https://lnkd.in/dpDW7hK9 Keywords: breast cancer prediction; feature selection; fine-needle aspiration features
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