Results 71 to 80 of about 50,938 (244)

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

Melanoma que semeja nevus azul [PDF]

, 2019
A case of a 19 years old woman, with a pigmented nodule in external right side of thigh it has just beginning. The histopatholgy biopsy reported melanoma resembling blue nevus in order to recognize this condition an histological manifestations ...
Rolón, Mariam
core  

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

Pigmented trichoblastoma developed in a sebaceous nevus: HRAS mutation as a common molecular driver

, 2017
A 40-year-old woman presented with a pigmented nodule on a previously existing yellowish, verrucous plaque on the scalp. The histological diagnosis was consistent with a pigmented trichoblastoma developed within a sebaceous nevus (SN).
Matteo Fassan, Deborah Saraggi, MUNARI, GIADA, Vindigni, Vincenzo, Fassan, Matteo, Valentini, Elisa, Roberto Salmaso, Elisa Valentini, Vincenzo Vindigni, Giada Munari, Massimo Rugge, Cerroni, Lorenzo, Salmaso, Roberto, Saraggi, Deborah, Rugge, Massimo, Lorenzo Cerroni   +15 more
core   +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

Becker′s nevus with neurofibromatosis type 1

Annals of Indian Academy of Neurology, 2015
Neurofibromatosis type 1 is an autosomal dominant disorder which primarily affects the growth and development of neural cell tissues. It presents as multiple tumor-like growths over the skin that arises from the nerves and is associated with other ...
Sumit Kar, Krishnan Preetha, Nidhi Yadav, Bhushan Madke, Nitin Gangane   +4 more
doaj   +1 more source

Conjunctival blue nevus [PDF]

, 2011
The authors report a case of a conjunctival blue nevus and review the literature pertaining to these pigmented lesions in this location, describing clinical and histological report of a patient with a blue nevus of the palpebral conjunctiva with a ...
Joseph Juyo Chen, Seongmu Lee, Lee, Seongmu, Yen, Michael T., Michael T. Yen, Chen, Joseph Juyo   +5 more
core   +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

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

Small lesion, big challenge? Diagnosis of small diameter melanocytic lesions by dermatologists using AI support

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background Dermoscopy enhances melanoma detection, but small‐diameter melanomas (SDMs) remain diagnostically challenging. Convolutional neural networks (CNNs) may detect subtle patterns beyond human perception. This study evaluates how lesion diameter influences the diagnostic accuracy of dermatologists, with and without CNN support.
Anastasia Sophie Vollmer, Gianluca Nazzaro, Julia Katharina Winkler, Giuseppe Argenziano, Aimilios Lallas, Katharina Susanne Kommoss, Andreas Blum, Wilhelm Stolz, Carlo Maronese, Serena Giacalone, Cristina B Spigariolo, Gabriele Roccuzzo, Gianluca Avallone, Stefania Guida, Gabriella Brancaccio, Paolo Broganelli, Giovanni Pellacani, Francesca Farnetani, Emanuela Passoni, Angelo V Marzano, Alexander Enk, Holger Andreas Haenssle   +21 more
wiley   +1 more source