User profiles for H. P. Soyer
Soyer HPChair in Dermatology, The University of Queensland, Frazer Institute Verified email at uq.edu.au Cited by 37001 |
Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet
G Argenziano, HP Soyer, S Chimenti, R Talamini… - Journal of the American …, 2003 - Elsevier
Background: There is a need for better standardization of the dermoscopic terminology in
assessing pigmented skin lesions. Objective: The virtual Consensus Net Meeting on …
assessing pigmented skin lesions. Objective: The virtual Consensus Net Meeting on …
Nanoparticles and microparticles for skin drug delivery
…, EMT Wurm, C Yoong, TA Robertson, HP Soyer… - Advanced drug delivery …, 2011 - Elsevier
Skin is a widely used route of delivery for local and systemic drugs and is potentially a route
for their delivery as nanoparticles. The skin provides a natural physical barrier against …
for their delivery as nanoparticles. The skin provides a natural physical barrier against …
Dermoscopy of pigmented skin lesions–a valuable tool for early
G Argenziano, HP Soyer - The lancet oncology, 2001 - thelancet.com
The clinical use of dermoscopy has uncovered a new and fascinating morphological dimension
of pigmented skin lesions. Dermoscopy is a noninvasive diagnostic technique that links …
of pigmented skin lesions. Dermoscopy is a noninvasive diagnostic technique that links …
[HTML][HTML] Human–computer collaboration for skin cancer recognition
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial
intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI-…
intelligence (AI) create the imperative to consider the opportunities and risks of inserting AI-…
[HTML][HTML] A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Prior skin image datasets have not addressed patient-level information obtained from multiple
skin lesions from the same patient. Though artificial intelligence classification algorithms …
skin lesions from the same patient. Though artificial intelligence classification algorithms …
Vascular structures in skin tumors: a dermoscopy study
…, R Hofmann-Wellenhof, HP Soyer - Archives of …, 2004 - jamanetwork.com
Objectives To describe the different vascular structures seen by dermoscopy and to evaluate
their association with various melanocytic and nonmelanocytic skin tumors in a large series …
their association with various melanocytic and nonmelanocytic skin tumors in a large series …
Adjuvant interferon alfa-2a treatment in resected primary stage II cutaneous melanoma. Austrian Malignant Melanoma Cooperative Group.
H Pehamberger, HP Soyer, A Steiner… - Journal of clinical …, 1998 - ascopubs.org
PURPOSE Patients with primary cutaneous melanoma with a Breslow thickness > or = 1.5
mm have only a 30% to 70% probability of survival after surgery, and no adjuvant therapy has …
mm have only a 30% to 70% probability of survival after surgery, and no adjuvant therapy has …
Dermatoscopy of basal cell carcinoma: morphologic variability of global and local features and accuracy of diagnosis
BACKGROUND: Early detection of basal cell carcinoma (BCC) is crucial to reduce the
morbidity of this tumor. OBJECTIVE: We sought to investigate the variability and diagnostic …
morbidity of this tumor. OBJECTIVE: We sought to investigate the variability and diagnostic …
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international …
Background Whether machine-learning algorithms can diagnose all pigmented skin lesions
as accurately as human experts is unclear. The aim of this study was to compare the …
as accurately as human experts is unclear. The aim of this study was to compare the …
[HTML][HTML] Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
…, M Sergon, W Sondermann, HP Soyer… - European Journal of …, 2021 - Elsevier
Background Multiple studies have compared the performance of artificial intelligence (AI)–based
models for automated skin cancer classification to human experts, thus setting the …
models for automated skin cancer classification to human experts, thus setting the …