Results 11 to 20 of about 6,271,834 (365)

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

open access: yesCa, 2021
This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer.
H. Sung   +6 more
semanticscholar   +1 more source

Secretogranin II influences the assembly and function of MHC class I in melanoma

open access: yesExperimental Hematology & Oncology, 2023
Melanoma is the deadliest form of skin cancer showing rising incidence over the past years. New insights into the mechanisms of melanoma progression contributed to the development of novel treatment options, such as immunotherapies.
Tamara Steinfass   +14 more
doaj   +1 more source

Skin Cancer Detection Using Deep Learning—A Review

open access: yesDiagnostics, 2023
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early.
Maryam Naqvi   +4 more
semanticscholar   +1 more source

AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions

open access: yesCancers, 2023
Simple Summary The proposed research aims to provide a deep insight into the deep learning and machine learning techniques used for diagnosing skin cancer.
N. Melarkode   +3 more
semanticscholar   +1 more source

Non-melanoma Skin Cancer

open access: yesSurgical Oncology Manual, 2021
Epidemiology About three quarters of non-melanoma skin cancers are basal cell carcinomas (basaliomas). These metastasise only in exceptional cases, especially when the immune system is weakened, and are therefore rarely life-threatening.
David W. Lim   +8 more
semanticscholar   +1 more source

Mesenchymal–epithelial transition in lymph node metastases of oral squamous cell carcinoma is accompanied by ZEB1 expression

open access: yesJournal of Translational Medicine, 2023
Background Oral squamous cell carcinoma (OSCC), an HPV-negative head and neck cancer, frequently metastasizes to the regional lymph nodes but only occasionally beyond. Initial phases of metastasis are associated with an epithelial–mesenchymal transition (
Kai Horny   +8 more
doaj   +1 more source

Amyloidosis Cutis Dyschromica in a 16-Year-Old Filipino Girl: A Case Report

open access: yesDermatopathology, 2022
Amyloidosis cutis dyschromica is a rare variant of primary cutaneous amyloidosis characterized by hyper- and hypopigmented macules. In this paper, we reported a case of a 16-year-old Filipino girl with hyper- and hypopigmented to depigmented macules on ...
Fendi EJ R. Bautista   +2 more
doaj   +1 more source

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

open access: yesIEEE Access, 2022
Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis is very significant and can avoid some categories of skin cancers, such as melanoma and focal cell carcinoma. The recognition and the classification of
A. Sharma   +9 more
semanticscholar   +1 more source

Skin Cancer Detection: A Review Using Deep Learning Techniques

open access: yesInternational Journal of Environmental Research and Public Health, 2021
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or mutations on the skin. Skin cancer tends to gradually spread over other body parts,
Mehwish Dildar   +9 more
semanticscholar   +1 more source

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network [PDF]

open access: yes, 2023
Skin cancer detection is challenging since different types of skin lesions share high similarities. This paper proposes a computer-based deep learning approach that will accurately identify different kinds of skin lesions. Deep learning approaches can detect skin cancer very accurately since the models learn each pixel of an image. Sometimes humans can
arxiv   +1 more source

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