ISIC Skin Image Analysis Workshop
@ CVPR 2019

Hosted by the International Skin Imaging Collaboration (ISIC)

Skin is the largest organ of the human body, and is the first area of assessment performed by any clinical staff when a patient is seen, as it delivers numerous insights into a patient’s underlying health. For example, cardiac function, liver function, immune function, and physical injuries can be assessed by examining the skin. In addition, dermatologic complaints are also among the most prevalent in primary care [1].  Images of the skin are the most easily captured form of medical image in healthcare, and the domain shares qualities to other standard computer vision datasets, serving as a natural bridge between standard computer vision tasks and medical applications.

This workshop will serve as a venue to facilitate advancements and knowledge dissemination in the field of skin image analysis, raising awareness and interest for these socially valuable tasks. Invited speakers include (confirmed) major influencers in computer vision and skin imaging, and authors of accepted papers.

Topics of manuscript submissions may include:

  • Computer Vision Applied to Dermatology and Primary Care
  • Skin Analysis from Dermoscopic Images
  • Skin Analysis from Consumer-Grade Photographs
  • Skin Analysis from Video
  • Skin Analysis from Total-Body Photography and 3D Skin Reconstructions
  • Skin Analysis from Confocal Microscopy
  • Skin Analysis from Optical Coherence Tomography (OCT)
  • Skin Analysis from Histopathological Images
  • Skin Analysis from Multi-Modal Data Sources
  • Interpretable or Explainable AI Related to Skin Image Analysis
  • Algorithms to Mitigate Dataset Imbalance
  • Uncertainty Estimation Related to Skin Image Analysis
  • Application Workflows for Skin Image Analysis
  • Robustness to Bias from Clinical and User-Originating Photography
The workshop will give out 2 awards towards paper submissions:
  • Best Paper Award: $4,000
  • Honorable Mention: $2,000
Judging will be carried out by the workshop chairs according to paper reviews, quality of research, impact, and novelty.

In order to submit a paper, please refer to the following:
Paper Submissions System (Author Information and Template)

[1] Lowell BA, et al. “Dermatology in primary care: Prevalence and patient disposition" In: Journal of the American Academy of Dermatology (JAAD), vol. 45, no. 2. 2001.

Invited Speakers

This workshop will feature several prominent names in the field of skin image analysis, including:

Ramesh Raskar
Massachusetts Institute of Technology Associate Professor and head of the MIT Media Lab's Camera Culture research group. His research interests span the fields of computational photography, inverse problems in imaging, and human-computer interaction.
Art Papier
CEO of VisualDx. VisualDx is one of the largest online repositories of clinical photographs of skin diseases, and offers a range of services, including a clinical image reference app for mobile devices
Ghassan Hamarneh
Professor of Computing Science at Simon Fraser University, Canada. His primary research is in medical image analysis and he is the director of the Medical Image Analysis Research Group.
Catarina Barata
Post-doctoral fellow in the Institute for Systems and Robotics (ISR) at Instituto Superior Técnico (IST), Portugal. She has been conducting research in dermoscopy image analysis since 2009.

Important Dates

April 2nd, 2019: Workshop Paper Submission Deadline: 11:59 PM EDT
NEW: April 12th, 2019: Author final notification
NEW: April 16th, 2019: Camera-Ready Deadline
June 17th, 2019: Workshop @ CVPR 2019, Monday Afternoon

Paper Submission

For paper submissions, CVPR manuscript rules are followed. All papers will be indexed in CVF and IEEE Xplore, along with other CVPR 2019 papers.

Paper Submissions System (Author Information and Template).

Research Datasets for Skin Image Analysis

  • ISIC 2018: According to the American Cancer Society, skin cancer is the most common form of cancer. While amenable to early detection by direct inspection, visual similarity with benign lesions makes the task difficult. Dermoscopic imaging was introduced to better visualize key details in skin lesions to improve diagnostic accuracy. The International Skin Imaging Collaboration (ISIC) has organized the world's largest repository of dermoscopic images of skin (over 23,000 images), to support research and development of methods for segmentation, clinical attribute detection, and disease classification. This dataset is a snapshot used for the 2018 challenge, containing over 10,000 images for training, and 1500 for testing. See also: Challenge Summary / Data Description
  • SD-198: 6,584 consumer grade photographs of skin affected by 198 disease states. See also: Paper Reference / Author Website
  • Derm7pt: Over 2,000 dermoscopic and clinical images of skin lesions, with 7-point checklist criteria and disease diagnosis annotated.

Program Schedule

Location: Monday, June 17th, 1:30-6pm, Hyatt Seaview B

1:30 PM: Opening Remarks (Noel Codella)
1:45 PM: Invited Talk 1, Making The Invisible Visible: Inside, Around, and Beyond (Ramesh Raskar, covered by Guy Satat) [ Tutorial on data driven computational imaging]
2:15 PM: Invited Talk 2, Interpretability in CAD Systems for Skin Cancer Diagnosis (Catarina Barata)
2:45 PM: Invited Talk 3, "Deep learning for skin image analysis: Beyond more data and faster GPUs" (Ghassan Hamarneh)
3:15 PM: Coffee Break
3:30 PM: Invited Talk 4, "A Machine Learning and Clinical Decision Support Approach to Broad Dermatologic Diagnosis" (Art Papier)
4:00 PM: Accepted Paper Presentation Session
Chairs: Emre Celebi, Noel Codella, Kristin Dana, Philipp Tschandl
  • 4:00 PM -- (De)Constructing Bias on Skin Lesion Datasets. Alceu Bissoto (Unicamp); Michel Fornaciali (Unicamp); Eduardo Valle (UNICAMP); Sandra Avila (UNICAMP)
  • 4:15 PM -- Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification. Fábio Perez (University of Campinas (UNICAMP))*; Sandra Avila (UNICAMP); Eduardo Valle (UNICAMP)
  • 4:30 PM -- Deep Attention Model for the Hierarchical Diagnosis of Skin Lesions Catarina Barata (Instituto Superior Tecnico)*; M. Emre Celebi (University of Central Arkansas); Jorge Marques (Technical University of Lisbon)
  • 4:45 PM -- Melanoma Thickness Prediction Based on Convolutional Neural Network with VGG-19 Model Transfer Learning. Joanna Jaworek-Korjakowska (AGH University of Science and Technology)*; Pawel Kleczek (AGH University of Science and Technology); Marek Gorgon (AGH University of Science and Technology)
  • 5:00 PM -- Segmentation of Prognostic Tissue Structures in Cutaneous Melanoma using Whole Slide Images. Adon Phillips (University of Ottawa)*; Iris Teo (University of Ottawa); Jochen Lang (University of Ottawa)
  • 5:15 PM -- Interpreting Fine-Grained Dermatological Classification by Deep Learning. Sourav Mishra (The University of Tokyo)*; Hideaki Imaizumi (Exmed Inc.,); Toshihiko Yamasaki (The University of Tokyo)
  • 5:30 PM -- Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation. Devansh Bisla (NYU)*; Anna Choromanska (New York University); Russell Burman (NYUMC); David Polsky (NYUMC); Jennifer Stein (NYUMC)
  • 5:45 PM -- A Customized Camera Imaging Pipeline for Dermatological Imaging. Hakki Karaimer (York University)*; Iman Khodadad (Elucid Labs); Farnoud Kazemzadeh (Elucid Labs); Michael Brown (York University)



Workshop Organizers:

Steering Committee:

Contact E-Mail: