Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bart Diricx"'
Autor:
Laudine Janssen, Sofie Van Kelst, Bart Diricx, Tom Kimpe, Jorien Papeleu, Evelien Verhaeghe, Lieve Brochez, Marjan Garmyn
Publikováno v:
Dermatology Practical & Conceptual, Vol 13, Iss 1 (2023)
Introduction: The interpretation of colors is essential in the dermoscopic evaluation of skin lesions. The same blue color on white dermoscopy may indicate blood or pigment deep in the dermis. Skin parameter maps, generated from multispectral dermosc
Externí odkaz:
https://doaj.org/article/29a14005996d4aeaa373d586c7870fdd
Autor:
Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt
Publikováno v:
Sensors, Vol 21, Iss 19, p 6523 (2021)
Deep neural networks have achieved state-of-the-art performance in image classification. Due to this success, deep learning is now also being applied to other data modalities such as multispectral images, lidar and radar data. However, successfully t
Externí odkaz:
https://doaj.org/article/bf71d20ae35e4f95a2d1fcc487956e78
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Autor:
Laudine Janssen, Sofie Van Kelst, Julie De Smedt, Julie Terrasson, Bart Diricx, Tom Kimpe, Jorien Papeleu, Evelien Verhaeghe, Lieve Brochez, Marjan Garmyn
Publikováno v:
Melanoma research. 33(1)
Preoperative assessment of Breslow thickness by means of sonography and clinical and dermoscopic criteria in white light dermoscopy has been reported, but up until now, the use of multispectral dermoscopy has not been investigated. Aim of this resear
Autor:
Marc Boone, Lieve Brochez, Marjan Garmyn, Julie De Smedt, Tom Kimpe, Sofie Van Kelst, Sofie Mylle, Laudine Janssen, Bart Diricx, Evelien Verhaeghe
Publikováno v:
Skin Research and Technology. 26:708-712
Background and objectives Dermoscopy has proven its value in the diagnosis of skin cancer and, therefore, is well established in daily dermatology practice. Up until now, analogue white light dermoscopy is the standard. Multispectral dermoscopy is ba
Autor:
Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Bart Diricx, Pieter Simoens, Pieter Van Molle, Jonas De Vylder, Bart Dhoedt
Publikováno v:
Sensors
Volume 21
Issue 19
Sensors, Vol 21, Iss 6523, p 6523 (2021)
Sensors (Basel, Switzerland)
SENSORS
Volume 21
Issue 19
Sensors, Vol 21, Iss 6523, p 6523 (2021)
Sensors (Basel, Switzerland)
SENSORS
Deep neural networks have achieved state-of-the-art performance in image classification. Due to this success, deep learning is now also being applied to other data modalities such as multispectral images, lidar and radar data. However, successfully t
Publikováno v:
Journal of the American Academy of Dermatology. 87:AB136
Autor:
Bart Diricx, Jonas De Vylder, Sofie Mylle, Laudine Janssen, Sofie van Kelst, Evelien Verhaeghe, Lieve Brochez, Marjan Garmyn, Tom Kimpe
Publikováno v:
Journal of the American Academy of Dermatology. 87:AB144
Autor:
Bart Diricx, Pieter Van Molle, Bert Vankeirsbilck, Jonas De Vylder, Tim Verbelen, Pieter Simoens, Tom Kimpe, Bart Dhoedt
Publikováno v:
NEURAL COMPUTING & APPLICATIONS
Modern deep learning models achieve state-of-the-art results for many tasks in computer vision, such as image classification and segmentation. However, its adoption into high-risk applications, e.g. automated medical diagnosis systems, happens at a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49c01641de530cb18ca7dc751015893c
https://biblio.ugent.be/publication/8701260
https://biblio.ugent.be/publication/8701260
Autor:
Pieter Van Molle, Cedric De Boom, Bart Diricx, Tim Verbelen, Bart Dhoedt, Bert Vankeirsbilck, Jonas De Vylder, Tom Kimpe, Pieter Simoens
Publikováno v:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures ISBN: 9783030326883
UNSURE/CLIP@MICCAI
UNSURE/CLIP@MICCAI
Deep neural networks are becoming the new standard for automated image classification and segmentation. Recently, such models are also gaining traction in the context of medical diagnosis. However, when using a neural network as a decision support to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce46d794cb67e97a89ebabcbf69caed
https://doi.org/10.1007/978-3-030-32689-0_6
https://doi.org/10.1007/978-3-030-32689-0_6