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- Version 72
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| 1 | = High-Throughput Truthing (HTT) Project = | |||
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| 2 | - | * |
+ | * [DeviceAdviceAIMLImaging Device Advice for AI and Machine Learning Algorithms]
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| 3 | + | * [HTTWhatisHTT What is HTT?]
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| 4 | + | * [HTTdataCollectionTraining HTT Data Collection Training]
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| 5 | + | * [HTTDataCollectionPivotalStudy HTT Data Collection Pivotal Study]
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| 6 | + | |||
| 7 | + | Updates
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| 8 | * [HTTupdateCurrent Current Update] | |||
| 9 | * [HTTupdates All Updates] | |||
| 10 | * [HTTMDDT HTT and the Medical Device Development Tool Program] | |||
| 11 | + | * [EEDAPMDDT eeDAP Medical Device Development Tool Info]
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| 12 | ||||
| 13 | ====Completed Work ==== | |||
| 14 | * [PresentationsandPublications Publications, Presentations, and Studies] | |||
| 15 | * [https://github.com/DIDSR/HTT GitHub repository with data, scripts, and functions of the HTT project] | |||
| 16 | * [HTTAdminRCA:ResearchCollaborationAgreements Research Collaboration Agreements] | |||
| 17 | ||||
| 18 | ==== How to Get Involved ==== | |||
| 19 | We are looking for pathologists to annotate breast-cancer biopsies with the density of tumor-infiltrating lymphocytes | |||
| 20 | * [HTTdataCollectionTraining Annotate images] | |||
| 21 | * [HTTrecruiting Current pathologist recruitment materials] | |||
| 22 | ||||
| 23 | We have an open-door-approach to collaboration. Come join us. | |||
| 24 | * [HTTHowToGetInvolved Host data collection events, source slides, provide expertise to creating pathologist training] | |||
| 25 | ||||
| 26 | ==== Contact Us ==== | |||
| 27 | For questions about any part of the HTT project, please [HTTContacts contact us]. | |||
| 28 | ||||
| 29 | =Collaborating Organizations= | |||
| 30 | * [https://www.tilsinbreastcancer.org/ The International Immuno-Oncology Biomarker Working Group on Breast Cancer] | |||
| 31 | * [https://www.digitalpathologyalliance.org/ The Pathologist Innovation Collaborative Community (PIcc)] | |||
| 32 | * [https://www.digitalpathologyalliance.org/truthing-validation Truthing & Validation Working Group] | |||
| 33 | * [https://ic3r.iarc.who.int/ The International Collaboration for Cancer Classification and Research (IC3R)] | |||
| 34 | * [https://ic3r.iarc.who.int/projects/pathologist-annotation-datasets-for-evaluating-algorithms-padea-biilb.pdf Project Listing: Pathologist Annotation Datasets for Evaluating Algorithms (PADEA)] | |||
| 35 | - | |||
| 36 | - | =Useful Regulatory Information =
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| 37 | - | * [DeviceAdviceAIMLImaging Device Advice for AI and Machine Learning Algorithms]
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| 38 | ||||
| 39 | = More Information = | |||
| 40 | * [JobAnnouncements Job Announcements] | |||
| 41 | * [HighThroughputTruthing HTT Project Overviews] | |||
| 42 | * [HighthroughputTruthingYear1Report HTT Year 1 Report] | |||
| 43 | * [HighthroughputTruthingYear1Report HTT Year 2 Report] | |||
| 44 | * [https://github.com/DIDSR/eeDAP eeDAP GitHub repository, Evaluation Environment for Digital and Analog Pathology] | |||
| 45 | * [StudyFDAMSKCC14headMicroscope eeDAP study (FDA-MSKCC) mitotic figure detection study on a 14-head Microscope 2017] | |||
| 46 | * [RegistrationAccuracy eeDAP Registration Accuracy] | |||
| 47 | * [EEDAPMDDT eeDAP Medical Device Development Tool Info] | |||
| 48 | * [EEDAPupdates eeDAP Updates] | |||