Results 111 to 120 of about 5,960,249 (275)

Evaluating Fine Needle Aspiration Cytology for Diagnostics of Soft Tissue and Bone Tumours

open access: yesCytopathology, EarlyView.
Systematic comparison of needle aspiration cytology and histopathology for 503 tumours in soft tissue and bone showed high concordance (positive predictive value 94%–100%, negative predictive value 83%–89%). In this original study, the authors show that FNAC is a safe and non‐invasive method for diagnosing suspected sarcomas, with the main objective to
Amanda Husu   +3 more
wiley   +1 more source

Multiple Pigmented Basal Cell Carcinomas of the Eyelids [PDF]

open access: yesJAMA Ophthalmology, 2013
Vivian, Lee   +5 more
openaire   +2 more sources

Clinicomorphologic Spectrum of Basal Cell Carcinoma: A Series of Twelve Cases [PDF]

open access: yes, 2016
Basal cell carcinoma is a non-melanocytic skin cancer that arises from basal cells. It is the most common skin malignancy in the developed world, while in India it is second to squamous cell carcinoma.
Leevathi Dawson, Surbhi Goyal, Amit kumar Yadav, Sufian Zaheer,   +1 more
core  

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

open access: yesJDDG: 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   +11 more
wiley   +1 more source

Pigmented Variants of Basal Cell Carcinoma: A Case Series

open access: yesEuropean Medical Journal Dermatology
Background: Basal cell carcinoma (BCC) is a type of skin cancer. It typically develops in areas exposed to the sun, such as the face, neck, and hands.
Nikhat Sajjad   +4 more
doaj   +1 more source

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

open access: yesJDDG: 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   +7 more
wiley   +1 more source

Investigational agents in metastatic basal cell carcinoma: focus on vismodegib

open access: yes, 2012
Nicolas Batty,1 Ellen Kossoff,2 Grace K Dy11Department of Medicine, Roswell Park Cancer Center, Buffalo, NY, USA; 2Department of Pharmacy, Roswell Park Cancer Center, Buffalo, NY, USAAbstract: Vismodegib (GDC-0449, 2-chloro-N-(4-chloro-3-(pyridin-2-yl ...
Batty N, Kossoff E, Dy GK
core  

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

open access: yes
Australasian Journal of Dermatology, EarlyView.
C. Ramirez   +11 more
wiley   +1 more source

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