DermX: an end-to-end framework for explainable automated dermatological diagnosis

14 February 2022

Papers citing "DermX: an end-to-end framework for explainable automated dermatological diagnosis"

7 / 7 papers shown

Title
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study T. Chanda Sarah Haggenmueller Tabea-Clara Bucher Tim Holland-Letz Harald Kittler ... Martin Jansen Juliane Wacker Joerg Wacker Reader Study Consortium T. Brinker 36 1 0 20 Sep 2024
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images Yan-Jie Zhou Wei Liu Yuan Gao Jingyi Xu Lexian Lu ... Hao Cheng Na Jin Xiaoyong Man Shuang Zhao Yu Wang 13 6 0 17 Jul 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma T. Chanda Katja Hauser S. Hobelsberger Tabea-Clara Bucher Carina Nogueira Garcia ... J. Utikal K. Ghoreschi S. Fröhling E. Krieghoff-Henning T. Brinker 26 64 0 17 Mar 2023
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks Raluca Jalaboi Ole Winther A. Galimzianova FAtt 22 1 0 23 Feb 2023
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis Roxana Daneshjou Mert Yuksekgonul Zhuo Cai R. Novoa J. Zou 29 44 0 01 Feb 2023
Explainable Image Quality Assessments in Teledermatological Photography Raluca Jalaboi Ole Winther A. Galimzianova MedIm 16 9 0 10 Sep 2022