Digital Pathology & AI Congress: Asia

When

2020年8月18-19日

Where

韓國,首爾
Grand Ambassador

Digital Pathology & AI Congress: Asia
-第6屆數位病理學和AI學會:亞洲大會-
日期:2020年8月18-19日
地點:韓國,首爾,Grand Ambassador
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Digital Pathology & AI Congress: Asia

導入數位病理學提升影像分析工作流程效率與推動標準化

共同舉辦: Korean Society of Pathologists

越來越明確的是,人工智慧(AI)將大幅型塑未來病理診斷發展,在此背景下舉辦的2020年度學會將討論透過AI和運算的病理診斷實務、技術相關議題。除了討論臨床影像分析和實驗室資訊系統(LIS)整合之外,並安排了診斷法和臨床現場案例研討等內容。

前屆與會者迴響
「從AI領域經驗豐富的專家身上吸收了很多知識。」
「是一個能夠聆聽優秀演講、拓展人脈的環境。」
「是結識全球領先專家和供應商代表的絕佳機會。」
「能夠聆聽知名專家演講,展示會也非常棒。」

請勿錯過這個能夠聆聽數位病理學導入和整合相關演講與案例研討、找尋合作對象或有助改善工作流程的工具、掌握影像分析自動化最新趨勢的寶貴機會。

2020年主要演講者

議程

第1天
Digital image analysis of novel prognostic factors in breast cancer; sowing the seeds for clinical implementation
Ioannis Roxanis, Research Consultant, Institute of Cancer Research, UK

Martin Stumpe, Senior Vice President, Tempus, US

Making Machine Learning Work for You: Leveraging Artificial Intelligence in Your Daily Work
Eric Wirch, Chief Technical Officer & Managing Director, Corista, US

Poster sessions, Refreshments and Networking

Track 1: Computational Pathology & Artificial Intelligence Track 2: Clinical Implementation
Icytomine: A User-Friendly Tool for Integrating Work Flows on Whole Slide Images
Jean-Christophe Olivo-Marin, Head of Team – BioImage Analysis, Institut of Pasteur, France
Recommendations for Pathologic Practice Using Digital Pathology
Yosep Chong, Clinical Assistant Professor, Catholic University of Korea, South Korea
Tasks and Hurdles of AI-Assisted Oncopathology in China
Pifu Luo, Director of Pathology & Chief Pathologist, PI of AI+Pathology Projects, KingMed Diagnostics, China
Application of Deep Learning into Routine Diagnostic Workflow: Barriers and Benefits
Junya Fukuoka, Professor, Nagasaki University, Japan
Sponsor presentation Sponsor presentation
Lunch
Mitotic Detection in Breast Cancer H&E Samples or the Multiplex Solution in Prostate, Endometrial and Sarcoma
Yu Weimiao, Head, Computational BioImage Analysis (CBA) Unit, Institute of Molecular and Cell Biology, Agency of Science, Technology and Research, Singapore
Characterising follicles in lymph nodes with deep learning: Can we identify a digital signature?
Jeremy Parry, Consultant Pathologist, PathWest Laboratory Medicine, Australia / Honorary Research Fellow, Murdoch University, Australia
Automated Classification of Lung Cancer Cytologies: Comparison of Fine-Tuning Deep Convolutional Neural Networks
Tetsuya Tsukamoto, Professor, Fujita Health University School of Medicine, Japan
Digital Pathology from IT perspective
Choi Jong Soo, Project Manager, Health Information Center, Samsung Medical Center, South Korea
Sponsor presentation Sponsor presentation
Poster sessions, Refreshments and Networking
Sylvia Asa, Head of Pathologist, University Health Network, Canada Deep Learning for Human Trainees in Pathology: Roles for AI and Digital Pathology
Lewis A. Hassell, Director of Anatomic Pathology, University of Oklahoma Health Sciences Center
第2天
Digital Pathology and AI for Precision Medicine, and Their Potentials in Academic as Well as Private Settings
Dongfeng Tan, Professor, MD Anderson Cancer Center, USA
Panel Discussion: Establishing ROI on Digital Pathology Investment
Moderator: Alexi Baidoshvili, Director of Computational Pathology, Labpon, Netherlands
Sponsor presentation
Poster sessions, Refreshments and Networking
Digital Technology and Machine Learning in Pathology
Jianyu Rao, Diagnostic Technology Innovation, Director of Pathology, Director of International Telepathology, UCLA, David Geffen School of Medicine, USA
The Wisdom of Diagnostic Consensus: Image Search in Large Archives of Histopathology Images
Hamid Tizhoosh, Professor, Kimia Lab, University of Waterloo, Canada
Sponsor Presentation
Lunch
Real Life Efficiency Gains using Digital and Computational Pathology: In Pathologist's Point of View
Alexi Baidoshvili, Director & Professor of Computational Pathology, Labpon, Netherlands
Dae Cheol Kim, Associate Professor, Dong-A University, South Korea
Brave New World
Katrien Grunberg, Professor of Pathology, Radboudumc, Netherlands
Dr Lin Yang, CEO DEEP Informatics, China (Reserved)
Close

* 活動內容有可能不事先告知作更動及調整。

本學會重點

本學會節目目的在創造一個友好環境,協助演講嘉賓、贊助商、與會者建立富有成效的關係。

  • 了解影像處理技術和數位影像分析技術的最新進展目前如何推動病理檢查。
  • 了解如何應用深度學習技術在常規診斷工作流程中。
  • 了解數位影像分析相關技術最新案例。
  • 向應用數位病理學技術進行研究的組織學習經驗教訓。
  • 盡早著手邁向實驗室完全數位化的行動。
  • 吸收有助改善實驗室的知識。

演講者

2020年 演講者

小型會議 - Free Workshop

Seoul Workshop: Akoya

When

2020年3月18日
12:00 - 16:00

Where

韓國,首爾
Grand Ambassador

Proxima™: A New Whole Slide Spatial Biomarker Analysis Platform

Spatial biomarker discovery and exploration tools for the assessment of multiplex immunofluorescence tissue sections produce a wealth of data in high dimensional space. Many times, these tools are often locally based, leading to bottlenecks in the processing of large studies and difficulty in data sharing. To enable collaboration across geographical and organizational boundaries, reproducible results in the face of changing IT departments, and scalable computing power, organizations are deploying cloud-based, digital pathology workflows.

At this workshop, Akoya Biosciences, will present Proxima, its newest digital pathology platform for the management and analysis of multiplex immunofluorescent digital slides. We will discuss a strategy that will enable organizations to operate existing workflows without disruption as they transition to the cloud, while applying new tissue analysis tools for deeper understanding of spatial biology.

  • Organizational management of their cloud-based user pool: assigning roles and permissions on a per-study basis
  • Authenticated and secure login for access to shared imagery and analysis results
  • Open-source script sharing for flexible data exploration
  • Scalable, cloud-based processing for rapid whole slide analysis and mapping/visualization of complex spatial interactions between cells

Trainers

Dan Eversole, PhD, Product Manager Tissue Analysis Software
Dan Walker, Product Manager Tissue Imaging

贊助商

2020年 贊助商

贊助商名單

地點

GRAND AMBASSADOR SEOUL ASSOCIATED WITH PULLMAN

287 DONGHO-RO, JUNG-GU, SEOUL 04618 - KOREA

海報發表

海報發表不僅在休息時間進行,也會與分科會討論同時進行。所有藥廠或研究機構的研究人員所製作的海報,都必須在獲得學會事務局許可後張貼於會場內指定區域。

此外,學會閉幕後,將發給所有出席者匯集海報發表大綱的電子書,亦可將海報以.pdf形式的檔案公開(僅限意者)。

海報發表對於尋求出資和雇用機會的人,以及希望在志同道合、研究同一題目的研究者團體中發表成果的人來說,是能夠在會場內廣受矚目的珍貴機會。

必須報名參加本年會方可進行海報發表。張貼海報的空間有限,將依報名順序接受通過審查者張貼海報,故建議盡早申請。

海報發表報名辦法

請填寫專用表格(點擊下列連結下載)於2020年2月17日以前繳交。若於截止日期前額滿將提早截止報名,敬請儘早申請。詳情歡迎與我們聯繫。

學會贊助商

2020年 贊助商

贊助商募集

藉由成為本年會的贊助商或參展者,可在融洽的氣氛中,與各組織的代表於各種正式、非正式的場合進行會談,建立合作關係的機會。

本年會準備了各種贊助方案,豐富的選項可配合您的業務需求自由搭配,以獲取最大額度的投資報酬。

欲採其他方式贊助本學會者,或考慮進行方案規畫者,歡迎隨時與本會洽詢。本會將提出合乎個別需求的服務建議。

可事先預約的20分鐘個別會談時段

贊助商與參展者可以事先預約在主要研討會的分科會會議中排定的20分鐘個別會談時段,與希望的對象見面。會期中,Global Engage團隊會常駐會場,協助會談按時進行。

年會前後的研討會

可在年會前後以對特定主題感到興趣者為對象,舉辦為期半天或全天的工作坊活動。Global Engage將協助宣傳以確保工作坊達到足夠的出席人數。

年會開幕前的行銷與宣傳

利用Global Engage的資料庫展開行銷活動,透過海報張貼、休息與午餐會、酒會、贊助海報發表等提高品牌知名度。另備有追加項目可將貴公司的logo印製在發放給與會者的名牌吊繩與年會資料包上。

參展

會議期間設有專用的展示區域,可向所有的與會者展示您的技術與產品。展示區域將設於休息及午餐會,以及第一天晚上的歡迎酒會的舉辦場所。

演講

發言的型態

  • 30分鐘演講
  • 在30分鐘專題討論中擔任主持人或討論人員
  • 在年會議程中舉行一小時的研討會
募集贊助商

歡迎來信或來電與日商環球訊息有限公司台灣分公司聯繫。

包括簽證等各種海關所需文件,以及展示用品的通關手續皆由展商企業各自負責。

展示相關的安排(企業介紹、公司商標、提供與會者目錄中的展商資訊登錄、展示空間的裝潢、用品訂購、展示用品的擺設搬運、展示空間的文件申請、保險等)請直接與主辦方連繫。

旅遊相關疑問(住宿、機票)、當地翻譯人員、飛行與意外保險等問題,將有另外的專門業者分別提供服務。

Digital Pathology Congress: Asia贊助方案詳情歡迎隨時來信或來電詢問。

媒體合作夥伴

  • Asian Archives of Pathology
  • The Pathologist
  • AltaWorld

支持單位

  • The International Academy of Pathology – Malaysian Division
 
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