CME/CPD ACCREDITED 12TH EMIRATES PATHOLOGY & DIGITAL PATHOLOGY CONFERENCE | December 21-23, 2022 | DUBAI, UAE
Track:2 Digital Pathology

Call for Paper:

Track 2 Digital pathology 

 SUB TRACK Digital Pathology, Whole-Slide Imaging, microscopy, Glass slides, diagnoses, diagnostic medicine, pathologist, skills, skills quantitative image analysis, machine learning, artificial intelligence, diagnoses for patients, scientist, primary diagnosis, tele-pathology, cellular structures, scanner, scanner technology, Radiology,

The field of digital pathology is a branch of pathology that focuses on data management using data derived from digitalized specimen slides. Digital pathology makes use of virtual microscopy through computer-based technology. Glass slides are transformed into digital slides that can be managed, shared, viewed, and analysed on a computer screen. The field of digital pathology is expanding and has applications in diagnostic medicine, with the aim of achieving effective and affordable diagnoses, prognosis, and prediction of diseases due to the success in Artificial Intelligence and Machine Learning. Whole-Slide Imaging (WSI), which is another name for virtual microscopy, is practised.

Although the concept of digital pathology has been widely adopted during the past ten years, it is not entirely new. The idea of digital pathology has been around for more than a century, when scientists first created specialised tools to transfer microscope images onto photographic plates so that they could be saved, used later, and shared with other researchers to help them understand pathology.

The increasing adoption of digital pathology has also been aided by major advancements in computational and storage technologies, along with equipment advancements.

Digital pathology has become firmly established in contemporary clinical practise as a result of the development of whole-slide imaging, the accelerated speed of networks, and the more affordable, more accessible storage options. This has significantly advanced our understanding of the nature of the disease.

Digital Pathology AI (Artificial Intelligence)

A pathology AI system is a piece of software that offers automated pathology or aids pathologists in their work. A pathology AI system’s main function is to use machine learning and image analysis to interpret digital slide images. A task, like as generating a diagnostic or a score, or a subtask, such as sorting cells into several cell kinds, can be learned from data using machine learning. We will concentrate our discussion on a few machine learning techniques, such as decision trees, random forests, and deep learning.

Deep learning has raised the profile of artificial intelligence in recent years (AI). In computer vision, where the feature detection could not be accomplished properly by writing image analysis algorithms, deep learning has surmounted significant obstacles. A deep learning network may mimic expert human performance by learning extremely complicated visual properties only from image input. Deep learning takes a large amount of data and computing power.

Digital Pathology Society Japanese Society of Toxicologic Pathology, Pathological Society, The Pathological Society of Great Britain & Ireland, United States and Canadian Academy of Pathology, American Society for Investigative Pathology New York Pathological Society, American Society for Cytotechnology, United States and Canadian Academy of Pathology

Digital Pathology Association  Digital Pathology Association, American Association of Neuropathologists, American Board of Pathology, Pathology & Laboratory Medicine, Southeastern Pathology Associates Medical associations based in the United States, American College of Veterinary Pathologists, Pennsylvania Association of Pathologists, Associates In Pathology S.C,

Digital Pathology University University of Leeds, Brown University, Digital PathologyUniversity of Michigan, Digital Pathology – TUM, Linköping University, West Virginia University, Digital Pathology and Telepathology, Utrecht University, University of Leeds,

CONFERENCE HIGHLIGHTS
  • 21 CME Hours
  • 21 CPD Hours
  • Live Sessions
  • Receive feedback on a version of your most recent work.
  • Network with others in your field.
  • Develop your knowledge.
  • Discover the newest research.
  • Have fun and travel to a new location
  • Meet your academic role models.
  • Participate in serious discussions and hone your arguments.
  • Develop your communication and presenting abilities.
  • Acquire and impart fresh insights and best practises.
  • Gain knowledge of the newest discoveries and insights.
  • In-person encounters with industry leaders and decision-makers
  • Network and maintain relationships with old friends and coworkers.
  • Coffee and lunch breaks
  • A two- or three-night stay (on request)
  • Publication with DOI
  • A display of new products

Abstract submission for #EPUCG2022 is open and you are welcome to submit your abstracts

*Submit your paper/abstract as per the below Abstract Sample

SUBMIT HERE:

Digital Pathology Experts

Prof. Inti Zlobec M.D

Location: Switzerland
Institution:  Institute of Pathology, University of Bern

Subspecialties: Digital Pathology, Experimental Pathology,

 

Dr. Nikolai Naoumov, M.D

Location: United Kingdom
Institution:  the Royal College of Physicians (London)

Subspecialties: Digital Pathology, immunology, molecular biology and translational medicine

 

Dr. Charlotte Jennings M.D

Location: United Kingdom
Institution:  Leeds Teaching Hospitals NHS Trust

Subspecialties: Digital Pathology,

 

Dr. Mark Zarella
Location: USA
Institution:  Johns Hopkins Medicine

Subspecialties: Biomedical imaging, computational medicine, and digital pathology

 

Dr. Isaac Grindeland Ph.D

Location: USA
Institution:  Pathologist, Digital pathology chairman, and board of directors at Incyte Diagnostics.

Subspecialties: digital pathology, gastrointestinal pathology,

Dr. Drew Lesniak M.D

Location: USA
Institution: Carl Zeiss MicroImaging, Inc

Subspecialties: digital pathology,

 

Dr. Michael Thrall M.D

Location: USA
Institution: Houston Methodist Hospital

Subspecialties: digital pathology, Anatomic Pathology, Clinical Pathology and Cytopathology

 

Dr. Mary Olanich Ph.D

Location: USA
Institution: Charles River Laboratories

Subspecialties: Molecular and digital pathology, oncology, molecular and cell biology

 

Dr. Alaaeddin Alrohaibani, M.D.

Location: USA

Institution: Oregon Health & Science University

Subspecialties: Anatomic, Informatics & digital pathology, Surgical

 

Dr. Alaa Alsadi, M.D., M.S.

Institution: University of Wisconsin-Madison

Location: USA

Subspecialties: Informatics & digital pathology