Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Frederik Faye"'
Autor:
Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Jørgensen, Ole Winther, Alfiia Galimzianova
Publikováno v:
Jalaboi, R, Faye, F, Orbes-Arteaga, M, Jørgsen, D, Winther, O & Galimzianova, A 2023, ' DermX: An end-to-end framework for explainable automated dermatological diagnosis ', Medical Image Analysis, vol. 83, 102647 . https://doi.org/10.1016/j.media.2022.102647
Jalaboi, R, Faye, F, Orbes-Arteaga, M, Jørgensen, D, Winther, O & Galimzianova, A 2023, ' DermX : An end-to-end framework for explainable automated dermatological diagnosis ', Medical Image Analysis, vol. 83, 102647 . https://doi.org/10.1016/j.media.2022.102647
Jalaboi, R, Faye, F, Orbes-Arteaga, M, Jørgensen, D, Winther, O & Galimzianova, A 2023, ' DermX : An end-to-end framework for explainable automated dermatological diagnosis ', Medical Image Analysis, vol. 83, 102647 . https://doi.org/10.1016/j.media.2022.102647
Dermatological diagnosis automation is essential in addressing the high prevalence of skin diseases and critical shortage of dermatologists. Despite approaching expert-level diagnosis performance, convolutional neural network (ConvNet) adoption in cl
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783030598600
MLMI@MICCAI
MLMI@MICCAI
Medical image segmentation is inherently an ambiguous task due to factors such as partial volumes and variations in anatomical definitions. While in most cases the segmentation uncertainty is around the border of structures of interest, there can als
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca9d917c0fd0a72efca0ad2586f3d31
https://doi.org/10.1007/978-3-030-59861-7_9
https://doi.org/10.1007/978-3-030-59861-7_9