bibtext: @InProceedings{ Got_PASSION_MICCAI2024,
                   author = { Gottfrois, Philippe and Gröger, Fabian and Andriambololoniaina, Faly Herizo and Amruthalingam, Ludovic and Gonzalez-Jimenez, Alvaro and Hsu, Christophe and Kessy, Agnes and Lionetti, Simone and Mavura, Daudi and Ng’ambi, Wingston and Ngongonda, Dingase Faith and Pouly, Marc and Rakotoarisaona, Mendrika Fifaliana and Rapelanoro Rabenja, Fahafahantsoa and Traoré, Ibrahima and Navarini, Alexander A. },
                   title = { { PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa } },
                   booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024},
                   year = {2024},
                   publisher = {Springer Nature Switzerland},
                   volume = { LNCS 15003 },
                   month = {October},
                   pages = { pending },
                }
abstract: Africa faces a huge shortage of dermatologists, with less than
  one per million people. This is in stark contrast to the high demand for
  dermatologic care, with 80% of the paediatric population suffering from
  largely untreated skin conditions. The integration of AI into healthcare
  sparks significant hope for treatment accessibility, especially through the
  development of AI-supported teledermatology. Current AI models are
  predominantly trained on white-skinned patients and do not general-
  ize well enough to pigmented patients. The PASSION project aims to
  address this issue by collecting images of skin diseases in Sub-Saharan
  countries with the aim of open-sourcing this data. This dataset is the
  first of its kind, consisting of 1,653 patients for a total of 4,901 images.
  The images are representative of telemedicine settings and encompass
  the most common paediatric conditions: eczema, fungals, scabies, and
  impetigo. We also provide a baseline machine learning model trained
  on the dataset and a detailed performance analysis for the subpopula-
  tions represented in the dataset. The project website can be found at
  https://passionderm.github.io/.
title: PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
authors: Gottfrois, Philippe Gröger, Fabian Andriambololoniaina, Faly Herizo Amruthalingam, Ludovic Gonzalez-Jimenez, Alvaro Hsu, Christophe Kessy, Agnes Lionetti, Simone Mavura, Daudi Ng’ambi, Wingston Ngongonda, Dingase Faith Pouly, Marc Rakotoarisaona, Mendrika Fifaliana Rapelanoro Rabenja, Fahafahantsoa Traoré, Ibrahima Navarini, Alexander A.