Results 81 to 90 of about 2,674,464 (250)

Automatic discrimination of basal cell carcinoma from sebaceous hyperplasia based on image processing of dermoscopy images [PDF]

open access: yes, 2017
“This project focuses on discriminating basal cell carcinoma from sebaceous hyperplasia using image processing techniques. Basal cell carcinoma is a kind of malignant skin cancer that needs to be treated; however, if diagnosed as sebaceous hyperplasia, a
Liao, Jonathan
core   +1 more source

The sensitivity and specificity of optical coherence tomography for the assisted diagnosis of nonpigmented basal cell carcinoma: an observational study

open access: yesBritish Journal of Dermatology, 2015
The diagnostic criteria for basal cell carcinoma (BCC) using optical coherence tomography (OCT) have been described previously, but the clinical value of these findings remains unknown.
M. Ulrich   +8 more
semanticscholar   +1 more source

Basal cell carcinoma of the perineum [PDF]

open access: yesDermatology Online Journal, 2014
Basal cell carcinoma (BCC) is the most common nonmelanoma skin cancer. Most BCCs are found on areas of UV-damaged skin, The study of BCCs of sun-protected regions, however, suggests a more complex pathogenesis. We present a case of BCC of the perineum in a man with no previous history of skin cancer.
Levin, Adriane Ann   +4 more
openaire   +3 more sources

Specifics of type IV collagen expression in basal cell skin carcinoma

open access: yesAlʹmanah Kliničeskoj Mediciny, 2020
Rationale: Type IV collagen is the main component of the basal membrane ensuring its integrity. Basal membrane destruction is associated with absent type IV collagen expression being directly related to an increased tumor invasion risk.
A. N. Khlebnikova   +4 more
doaj   +1 more source

Basal cell carcinoma mimicking pilonidal sinus: A case report with literature review [PDF]

open access: yes, 2016
IntroductionPilonidal sinus is a common benign disease that accounts for almost 15% of anal suppurations while basal cell carcinoma is the most common malignancy of the sun-exposed area occurring mainly on the head and neck.
Kakamad, F.H.   +2 more
core   +2 more sources

Current diagnosis and treatment of basal cell carcinoma

open access: yesJournal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG, 2015
Basal cell carcinoma represents is most common tumor in fair‐skinned individuals. In Germany, age‐standardized incidence rates are 63 (women) and 80 (men) per 100,000 population per year.
M. Alter   +4 more
semanticscholar   +1 more source

Micronodular basal cell carcinoma of the scrotum: a case report and review of the literature

open access: yesJournal of Medical Case Reports, 2021
Introduction Basal cell carcinoma is the most common nonmelanotic skin cancer. It has variable clinical and histological subtypes that vary in their aggressiveness and liability to recurrence and metastasis.
Mohammad Younes   +3 more
doaj   +1 more source

Squamous Change in Basal-Cell Carcinoma with Drug Resistance.

open access: yesNew England Journal of Medicine, 2015
In a 62-year-old woman with advanced basal-cell carcinoma who was treated with vismodegib, a recurrent mass was identified as a squamous-cell carcinoma that shared genetic features with the primary basal-cell tumor.
K. Ransohoff, Jean Y. Tang, K. Sarin
semanticscholar   +1 more source

p75NTR/proBDNF Modulates Basal Cell Carcinoma (BCC) Immune Microenvironment via Necroptosis Signaling Pathway

open access: yesJournal of Immunology Research, 2021
Basal cell carcinoma (BCC) is the most common skin cancer. While most of the basal cell carcinomas were localized lesion and can be easily managed, the treatment options to the advanced basal cell carcinomas are still remarkably limited. In recent years,
Qingli Lu   +3 more
doaj   +1 more source

Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data [PDF]

open access: yesarXiv, 2023
Renal cell carcinoma represents a significant global health challenge with a low survival rate. This research aimed to devise a comprehensive deep-learning model capable of predicting survival probabilities in patients with renal cell carcinoma by integrating CT imaging and clinical data and addressing the limitations observed in prior studies. The aim
arxiv  

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