Results 121 to 130 of about 16,578 (254)

S1 guideline sweat gland carcinoma

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary The current classification of sweat gland carcinomas is based on histomorphological characteristics and distinguishes between more than 20 entities. Most patients are older, but some subtypes also affect middle‐aged and younger patients. The majority of tumors arise de novo. Sweat gland carcinomas have nonspecific clinical features.
Mirjana Ziemer, Michael Erdmann, Abbas Agaimy, Jürgen C. Becker, Almut Böer‐Auer, Doris Helbig, Cornelia Erfurt‐Berge, Alexander Frisman, Conrad Hempel, Ulrike Leiter, Friedegund Meier, Thomas Mentzel, Lara Racz, Silke Redler, Stefan Schliep, Clemens Seidel, Alpaslan Tasdogan, Jochen Utikal, Carsten Weishaupt, Selma Ugurel   +19 more
wiley   +1 more source

A Retrospective Review of Scabies Cases Managed by the Dermatology Department in a North Queensland Hospital Over a 10‐Month Period

Australasian Journal of Dermatology, EarlyView.
Madeleine Louise Kelly, Crystal Williams
wiley   +1 more source

Multiclass convolutional neural network vs. 96 dermatologists in skin lesion diagnosis, an international study

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and objectives Artificial intelligence was shown to improve diagnostic accuracy for skin cancer detection. While most clinically approved models provide binary “benign/malignant” classifications, multiclass predictions may offer greater clinical utility.
Katharina Susanne Kommoss, Julia Katharina Winkler, Anastasia Sophie Vollmer, Christine Mueller‐Christmann, Ferdinand Toberer, Wilhelm Stolz, Teresa Kraenke, Rainer Hofmann‐Wellenhof, Andreas Blum, Alexander Enk, Albert Rosenberger, Holger Andreas Haenssle   +11 more
wiley   +1 more source

Optimising Melanoma Diagnostic Accuracy in Specialised Pigmented Lesion Clinics: A Five‐Year Audit of Number Needed to Treat

Australasian Journal of Dermatology, EarlyView.
C. Ramirez, M. A. El Sharouni, L. Clavero‐Rovira, B. Gallo, B. Gouveia, C. Sinz, S. Kapila, A. Glanz, H. Collgros, A. E. Cust, L. K. Martin, P. Guitera   +11 more
wiley   +1 more source

Age‐related dermatoscopic features of excised melanomas versus nevi in 832 high risk patients

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and objectives Melanocytic nevi show distinct age‐related dermoscopic patterns. However, data on age‐related patterns of melanomas are lacking. This study aimed to identify age‐related static and dynamic dermoscopic patterns of melanomas. Patients and methods Explorative cross‐sectional cohort study between October 1996 and May 2012,
Jana Burghaus‐Zhang, Julia Katharina Winkler, Katharina Susanne Kommoss, Anastasia Sophie Vollmer, Alexander Enk, Timo Buhl, Holger Andreas Haenssle   +6 more
wiley   +1 more source

AI‐assisted diagnosis of nail unit melanoma and melanonychia using a clinical deep learning model

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and objectives Nail unit melanoma (NUM) is a rare but potentially fatal malignancy often misdiagnosed as melanonychia. Because biopsy may cause permanent nail dystrophy, accurate noninvasive diagnosis is essential. This study aimed to develop and validate an artificial intelligence model to distinguish NUM from benign melanonychia ...
Yusung Chu, Sejung Yang, Jin‐Woong Jung, Jun Young Kim, Joon‐Goon Kim, Hae June Sung, Byungho Oh   +6 more
wiley   +1 more source

Comparison of Dermoscopy and Wood’s Lamp in the Assessment of Stability of Vitiligo

Indian Dermatology Online Journal
Background: The stability of vitiligo is mainly assessed using clinical criteria. Wood’s lamp and dermoscopy have been proposed as valuable alternatives.
Alaka J. Mohan, Abdulsalam Sarin, Ajithkumar Kidangazhiathmana, Neelakandhan Asokan   +3 more
doaj   +1 more source

Dermoscopy to the Rescue

Indian Journal of Dermatology, 2022
Parmar, Dharmesh G., Patel, Trisha B., Nair, Pragya A.   +2 more
openaire   +2 more sources

Dermoscopy: Opportunities for Learning, Teaching, and Research [PDF]

, 2019
This roundtable discussion will give family medicine educators and researchers an opportunity to come together and strategize about how to increase the penetration of dermoscopy within our residency programs.
Verdieck-Devlaeminck, Alex, Holt, Jim, Lu, Miranda, Usatine, Richard   +3 more
core  

Robustness of a neural network approved for skin cancer diagnosis against variations in sequential images

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background: Convolutional neural networks (CNN) for skin cancer classification have shown results comparable to dermatologists but are vulnerable to minor image transformations. We investigated the robustness of a MDR class‐IIa certified CNN when classifying sequential images of identical lesions.
Alicia Zimmermann, Julia K. Winkler, Katharina Kommoss, Anastasia Vollmer, Ferdinand Toberer, Alexander Enk, Albert Rosenberger, Holger A. Haenssle   +7 more
wiley   +1 more source