Designing AI deep learning image analysis is like microscopy | Interview with Seung-Yi Lee
577 بار بازدید -
11 ماه پیش
-
If you're looking for powerful
If you're looking for powerful tools for image analysis, you're in for a treat! In this exciting interview, we have Seung-Yi Lee, the Field Application Scientist of Aiforia (aiforia.com), showcasing their super versatile platform for supervised deep learning tissue image analysis. Seung-Yi Lee, with her background in biophysics and expertise in working with pathologists, provides valuable insights into the world of tissue image analysis.
Discover how Aiforia's platform empowers researchers to design supervised deep-learning models and create efficient layer trees. Seung-Yi Lee's journey, transitioning from advanced MRI modality to working with pathologists, brings a unique perspective to the field. Join us as we dive into the intricacies of tissue image analysis and explore the educational learning process that shapes the development of AI-powered models.
Learn how Aiforia's platform makes image analysis a seamless and powerful experience, helping researchers unlock the true potential of their data. Don't miss this insightful conversation filled with knowledge and innovation in the world of image analysis!
//CHAPTERS:
00:00 - 00:35 - Introduction
00:38 - Seung-Yi Lee
1:43 - What is Layer Tree?
1:53 - How to build a Layer Tree
6:05 - The project with the most layers and classes that Seung-Yi Lee worked
6:37 - Podcast with Rish Pai: How to approach colon cancer with tis...
6:53 - What property of tissue will guide us in designing the number of layers?
20:03 - What are the most frequent questions?
21:58 - How to make the hierarchy?
22:41 - What are other questions that people ask you?
25:11 - Instant Segmentation Podcast - Instance segmentation for digital pat...&list=UULF-bagVf7bqp3L0bAdNYaaQg
28:14 - Watch more videos about Tissue Image Analysis?
FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:
💻 Digital Pathology Starter Kit!
https://digitalpathology.club/dp-club...
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 currentTissueImageAnalysisknowledge and launch your expertise. Don't miss it!
=================================
NEXT-TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:
💻 Pathology 101 for non-pathologists
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?
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!
=================================
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/dig...
📷 My microscope camera (It's amazing!!!): https://imillermicroscopes.com/pages/...
=================================
LET'S CONNECT ON SOCIAL:
🌎 Website: https://digitalpathologyplace.com/
#️⃣ Instagram: Instagram: digital_pathology_place
#️⃣ FB: Facebook: digitalpathologyplace
#️⃣ LinkedIn: LinkedIn: aleksandra-zuraw-dvm-phd-dacvp
#ImageAnalysis #SupervisedDeepLearning #TissueImageAnalysis #AiforiaPlatform #BioPhysics #Pathology #MRI #AI #ArtificialIntelligence #ResearchTools #DataAnalysis #MedicalResearch #DigitalPathology #MachineLearning #DeepLearning #MedicalImaging #PathologyInsights #ScientificInnovation #AIModels #LayerTrees #SeungYiLee #FieldApplicationScientist #DataAnalysis #ImageProcessing #ResearchTools #MedicalScience #PathologyInsights #Innovation #Education #TissueAnalysis #EforiaInterview #SeungYiLeeInterview
Discover how Aiforia's platform empowers researchers to design supervised deep-learning models and create efficient layer trees. Seung-Yi Lee's journey, transitioning from advanced MRI modality to working with pathologists, brings a unique perspective to the field. Join us as we dive into the intricacies of tissue image analysis and explore the educational learning process that shapes the development of AI-powered models.
Learn how Aiforia's platform makes image analysis a seamless and powerful experience, helping researchers unlock the true potential of their data. Don't miss this insightful conversation filled with knowledge and innovation in the world of image analysis!
//CHAPTERS:
00:00 - 00:35 - Introduction
00:38 - Seung-Yi Lee
1:43 - What is Layer Tree?
1:53 - How to build a Layer Tree
6:05 - The project with the most layers and classes that Seung-Yi Lee worked
6:37 - Podcast with Rish Pai: How to approach colon cancer with tis...
6:53 - What property of tissue will guide us in designing the number of layers?
20:03 - What are the most frequent questions?
21:58 - How to make the hierarchy?
22:41 - What are other questions that people ask you?
25:11 - Instant Segmentation Podcast - Instance segmentation for digital pat...&list=UULF-bagVf7bqp3L0bAdNYaaQg
28:14 - Watch more videos about Tissue Image Analysis?
FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:
💻 Digital Pathology Starter Kit!
https://digitalpathology.club/dp-club...
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 currentTissueImageAnalysisknowledge and launch your expertise. Don't miss it!
=================================
NEXT-TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:
💻 Pathology 101 for non-pathologists
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?
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!
=================================
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/dig...
📷 My microscope camera (It's amazing!!!): https://imillermicroscopes.com/pages/...
=================================
LET'S CONNECT ON SOCIAL:
🌎 Website: https://digitalpathologyplace.com/
#️⃣ Instagram: Instagram: digital_pathology_place
#️⃣ FB: Facebook: digitalpathologyplace
#️⃣ LinkedIn: LinkedIn: aleksandra-zuraw-dvm-phd-dacvp
#ImageAnalysis #SupervisedDeepLearning #TissueImageAnalysis #AiforiaPlatform #BioPhysics #Pathology #MRI #AI #ArtificialIntelligence #ResearchTools #DataAnalysis #MedicalResearch #DigitalPathology #MachineLearning #DeepLearning #MedicalImaging #PathologyInsights #ScientificInnovation #AIModels #LayerTrees #SeungYiLee #FieldApplicationScientist #DataAnalysis #ImageProcessing #ResearchTools #MedicalScience #PathologyInsights #Innovation #Education #TissueAnalysis #EforiaInterview #SeungYiLeeInterview
11 ماه پیش
در تاریخ 1402/05/17 منتشر شده
است.
577
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