Best practices in tissue image analysis | Algorithm validation

📘 Grab the "Digital Pathology 101" E-book here: https://www.aleksandrazuraw.com/digital-pathology-beginners-guide

Are you intrigued by the pioneers leading the charge in digital pathology? One of them is a tissue image analysis platform called Aiforia. This is a talk I gave to the audience at a conference workshop organized by Aiforia.

The Aiforia Workshop sheds light on the nuances of digital tissue image analysis, the challenges of algorithm validation, and the groundbreaking potential of merging technology with pathology. 🌐🔬

🚀 In This Episode, you will learn:

//Chapters:
00:00 - 00:46 - Digital Pathology and the New Age of Tissue Image Analysis
00:47 - 6:23 - Collaborations in Toxicological Pathology
6:24 - 9:57 - Algorithm Validation and the Importance of Ground Truth
10:19 - 15:19 - How Collaboration Between Pathologists and Software Teams Can Revolutionize the Field
15: 20 - 18:32:21 - Grab the Free Digital Pathology 101 Book

🔍 Episode Snapshots:

The impact of collaborations between software teams and pathologists.

Exploring the potential of digital tissue image analysis in advancing medical science.

🌐 In this episode, we discuss the importance of unbiased validation, delve into the challenges faced, and emphasize the significance of collaboration for successful outcomes in digital pathology.

🤖 The Digital Pathology Revolution: Join us as we dive deep into the nuances of digital pathology, discuss algorithm validation, and explore the promising future of tissue image analysis. Learn how trailblazers are forging new paths in this innovative field.

👥 Connect with Aiforia: LinkedIn: https://www.linkedin.com/company/aiforia-tech/

🔗 Mentioned Resources:

📘 Digital Pathology 101 Book Link to access the book: https://www.aleksandrazuraw.com/digital-pathology-beginners-guide

📰 Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology (Tox Path Paper): https://pubmed.ncbi.nlm.nih.gov/33371797/
FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:

💻 Digital Pathology Starter Kit!
https://digitalpathology.club/dp-club-membership-sp

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!

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NEXT-TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:

💻 Pathology 101 for non-pathologists
https://digitalpathology.club/dp-club-membership-sp

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?
I am finishing a course for computer scientists and professionals starting their journey in image analysis for pathology. This course will help you understand tissue and pathology without the necessity to deeply understand medicine. Join now!

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RECOMMENDED BOOKS & THINGS:

📗 Artificial Intelligence and Deep Learning in Pathology: https://amzn.to/42dh4Xn
📙 The healing art of pathology: https://amzn.to/3pkUXjf
🔬Set of Histology Slides for Self-education and Teaching: https://amzn.to/44QIFPV
📱 My microscopic photography phone case: http://skopedmicro.com/1625068689/digitalpathologyplace
📷 My microscope camera (It's amazing!!!): https://imillermicroscopes.com/pages/path4k

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LET'S CONNECT ON SOCIAL:

🌎 Website: https://digitalpathologyplace.com/
#️⃣ Instagram: https://www.instagram.com/digital_pathology_place/
#️⃣ FB: https://www.facebook.com/digitalpathologyplace
#️⃣ LinkedIn: https://www.linkedin.com/in/aleksandra-zuraw-dvm-phd-dacvp/

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Видео Best practices in tissue image analysis | Algorithm validation канала Aleksandra Zuraw Digital Pathology Place