Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jane O'Shea"'
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Skin lesion border irregularity, which represents the B feature in the ABCD rule, is considered one of the most significant factors in melanoma diagnosis. Since signs that clinicians rely on in melanoma diagnosis involve subjective judgment including
Externí odkaz:
https://doaj.org/article/9609a80cde5e4f2281ee16478e48bb83
Publikováno v:
PeerJ Computer Science, Vol 6, p e268 (2020)
Skin lesion border irregularity is considered an important clinical feature for the early diagnosis of melanoma, representing the B feature in the ABCD rule. In this article we propose an automated approach for skin lesion border irregularity detecti
Externí odkaz:
https://doaj.org/article/a9399f964ee94e03b897b65eac395a0e
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0234352 (2020)
Asymmetry, color variegation and diameter are considered strong indicators of malignant melanoma. The subjectivity inherent in the first two features and the fact that 10% of melanomas tend to be missed in the early diagnosis due to having a diameter
Externí odkaz:
https://doaj.org/article/b92c88b31a8c48c7bfa2e3b8ddba5856
Autor:
Jérémie Nsengimana, Jennifer H. Barrett, Julia Newton-Bishop, D. Timothy Bishop, Göran Jönsson, Tracey Mell, May Chan, Juliette A. Randerson-Moor, Joanne Gascoyne, Mark Harland, Anastasia Filia, Joanna Poźniak, Sally Jane O'Shea, Joey Mark S. Diaz, Martin Lauss, Jonathan P. Laye, Rohit Thakur
Supplementary Figures and tables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630d28777576951ba2615b993c5d8080
https://doi.org/10.1158/1078-0432.22471407
https://doi.org/10.1158/1078-0432.22471407
Autor:
Jérémie Nsengimana, Jennifer H. Barrett, Julia Newton-Bishop, D. Timothy Bishop, Göran Jönsson, Tracey Mell, May Chan, Juliette A. Randerson-Moor, Joanne Gascoyne, Mark Harland, Anastasia Filia, Joanna Poźniak, Sally Jane O'Shea, Joey Mark S. Diaz, Martin Lauss, Jonathan P. Laye, Rohit Thakur
Purpose:Previously identified transcriptomic signatures have been based on primary and metastatic melanomas with relatively few American Joint Committee on Cancer (AJCC) stage I tumors, given difficulties in sampling small tumors. The advent of adjuv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f0f0b2a0d5a0590ad042f6f397df08
https://doi.org/10.1158/1078-0432.c.6527877.v1
https://doi.org/10.1158/1078-0432.c.6527877.v1
Autor:
Tracey Mell, Sally Jane O'Shea, Jérémie Nsengimana, May Chan, Anastasia Filia, D. Timothy Bishop, Jonathan P. Laye, Joey Mark S. Diaz, Juliette Randerson-Moor, Jennifer H. Barrett, Martin Lauss, Joanne Gascoyne, Julia Newton-Bishop, Mark Harland, Joanna Poźniak, Rohit Thakur, Göran Jönsson
Publikováno v:
Clinical Cancer Research
Purpose: Previously identified transcriptomic signatures have been based on primary and metastatic melanomas with relatively few American Joint Committee on Cancer (AJCC) stage I tumors, given difficulties in sampling small tumors. The advent of adju
Publikováno v:
Women and Birth. 35:48
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Frontiers in Medicine
Frontiers in Medicine
Skin lesion border irregularity, which represents the B feature in the ABCD rule, is considered one of the most significant factors in melanoma diagnosis. Since signs that clinicians rely on in melanoma diagnosis involve subjective judgment including
Publikováno v:
IJCNN
Lesion border detection is considered a crucial step in diagnosing skin cancer. However, performing such a task automatically is challenging due to the low contrast between the surrounding skin and lesion, ambiguous lesion borders, and the presence o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed6ebd6e6d2c8105926773db74b71b2
Publikováno v:
PeerJ Computer Science, Vol 6, p e268 (2020)
PeerJ Computer Science
PeerJ Computer Science
Skin lesion border irregularity is considered an important clinical feature for the early diagnosis of melanoma, representing the B feature in the ABCD rule. In this article we propose an automated approach for skin lesion border irregularity detecti