Can AI Predict Ovarian Cancer Survival Solely from Histology? скачать в хорошем качестве

Can AI Predict Ovarian Cancer Survival Solely from Histology?

This Journal club episode is brought to you by Aiforia: https://www.aiforia.com/ 📰 " Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone" 🔗 https://pubmed.ncbi.nlm.nih.gov/34580... Authors: Anne-Marie Lawrie, Sammi Blom, Trauma Serotonin, Annie Vietnam, Orly Mikhail Carbin Objective: To unearth predictive features using convolutional neural networks for a cancer type with a grim survival rate. Pathological Insights: Unlike other cancers, high-grade serous carcinoma lacks prognostic markers. The study aims to bridge this gap using explainable AI, a combination of supervised and weakly supervised deep learning. Methodology: A training set from 30 patients, 105 slides, and a multi-step approach employing three convolutional neural networks. Results: The network achieved a sensitivity of 70% and specificity of 91%, a promising step towards a clinical application. Potential Impact: This approach holds particular promise as there are currently no standard biomarkers for this type of cancer. Read the Full Paper: https://www.ncbi.nlm.nih.gov/pmc/arti... Learn and Share! Send it to someone who will benefit from it! Thank you! //CHAPTERS 00:00 - 00:18 - Introduction 00:19 - Paper Discussion Part 1: Convolutional Neural Networks can help find the features that could be predictable for better outcomes 1:45 - The overview of the whole paper using an image 5:53 - Final thoughts FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS: 💻 Digital Pathology Starter Kit! https://www.aleksandrazuraw.com/digit... This is hands down the BEST place to start when it comes to digital pathology that will bring you up to speed or structure your current knowledge and launch your expertise. Don't miss it! ================================= NEXT TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS: 💻 All your Digital Pathology Courses in one Place https://digitalpathology.club/dp-club... Are you starting your journey in tissue image analysis and computational pathology and are confused about what exactly you are supposed to analyze on the whole slide image? You will find "Pathology 101 for non-pathologist and all the other courses here. ================================= RECOMMENDED BOOKS & THINGS: 📗 Artificial Intelligence and Deep Learning in Pathology: https://amzn.to/432XE8E 📙 Digital Pathology 101 Hard Copy: https://amzn.to/3T6mGPA 📱 My microscopic photography phone case: http://skopedmicro.com/1625068689/dig... 📷 My microscope camera (It's amazing!!!): https://imillermicroscopes.com/pages/... ================================= LET'S CONNECT ON SOCIAL: 🌎 Website: https://digitalpathologyplace.com/ #️⃣ Instagram:   / digital_pathology_place   #️⃣ FB:   / digitalpathologyplace   #️⃣ LinkedIn:   / aleksandra-zuraw-dvm-phd-dacvp   ================================= #AIinMedicine #CancerPrognosis #HistologyAnalysis #DeepLearningHealthcare #PathologyInsights #MedicalAI #HealthTechInnovation #OvarianCancerResearch #DigitalBiomarkers #CancerSurvival #ConvolutionalNeuralNetworks #PredictiveMedicine #OvarianCancerSurvivalRate #AIinPathology #DeepLearninginCancerDiagnosis #DigitalBiomarkers pathology in 2023,computer science and pathology,what is digital pathology,pathology and computer science,computational pathology,digital pathology,ovarian cancer survival rate,ai in pathology,deep learning in cancer diagnosis,digital biomarkers,Survival prediction for ovaria,digital pathology place,ovarian cancer,ovarian cancer treatment,surviving infertility