How Does a Convolutional Neural Network Trained to Differentiate between Invasive Melanoma and Melanoma In situ Generalize when Assessing Dysplastic Naevi?
Abstract is missing (Short communication)
Main Authors: | Martin Gillstedt, Klara Segerholm, Ludwig Mannius, John Paoli, Sam Polesie |
---|---|
Format: | Article |
Language: | English |
Published: |
Medical Journals Sweden
2023-03-01
|
Series: | Acta Dermato-Venereologica |
Subjects: | |
Online Access: | https://medicaljournalssweden.se/actadv/article/view/4822 |
Similar Items
-
Can Dermoscopy Be Used to Predict if a Melanoma Is In Situ or Invasive?
by: Sam Polesie, et al.
Published: (2021-05-01) -
Infantile melanoma: early diagnosis by total body mapping in dysplastic nevus syndrome
by: Priscila Neri Lacerda, et al.
Published: (2021-12-01) -
Dermoscopic features of thin melanomas: a comparative study of melanoma in situ and invasive melanomas smaller than or equal to 1mm
by: Vanessa Priscilla Martins da Silva, et al.
Published: (2013-10-01) -
Clinical Clues to Avoid Missing Melanoma When Morphology Is Not Enough
by: Giuseppe Argenziano, et al.
Published: (2021-09-01) -
Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network
by: Martin Gillstedt, et al.
Published: (2022-10-01)