Zobrazeno 1 - 10
of 401
pro vyhledávání: '"skin lesion classification"'
Autor:
Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, Conceição Granja, Cristina Soguero-Ruiz
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-30 (2024)
Abstract Background Cutaneous melanoma is the most aggressive form of skin cancer, responsible for most skin cancer-related deaths. Recent advances in artificial intelligence, jointly with the availability of public dermoscopy image datasets, have al
Externí odkaz:
https://doaj.org/article/50c8a3a4ed4c4155a53a138f8c5dda42
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Skin cancer stands as one of the foremost challenges in oncology, with its early detection being crucial for successful treatment outcomes. Traditional diagnostic methods depend on dermatologist expertise, creating a need for more reliable,
Externí odkaz:
https://doaj.org/article/5d535637887f4bd7ba39cc38968ef87c
Autor:
Ritesh Maurya, Satyajit Mahapatra, Malay Kishore Dutta, Vibhav Prakash Singh, Mohan Karnati, Geet Sahu, Nageshwar Nath Pandey
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Skin cancer is a lethal disease, and its early detection plays a pivotal role in preventing its spread to other body organs and tissues. Artificial Intelligence (AI)-based automated methods can play a significant role in its early detection.
Externí odkaz:
https://doaj.org/article/aa6d0a5e4df148d9987abd875de1fcff
Autor:
S. Gomathi, N. Arunachalam
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract Identification of pigmented skin lesions is necessary for the detection of severe diseases associated with the skin organ, notably malignancy. Accurate skin cancer diagnosis can be improved with the use of image detection approaches and comp
Externí odkaz:
https://doaj.org/article/8ea689b627934bbca078808287cc20d0
Autor:
Sarah A. Alzakari, Stephen Ojo, James Wanliss, Muhammad Umer, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Nisreen Innab
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Accurate detection of skin lesions through computer-aided diagnosis has emerged as a critical advancement in dermatology, addressing the inefficiencies and errors inherent in manual visual analysis. Despite the promise of automated diagnostic approac
Externí odkaz:
https://doaj.org/article/a51359da3de94e8598f472f09ea83580
Autor:
Xiangchun Yu, Guoliang Xiong, Jianqing Wu, Jian Zheng, Miaomiao Liang, Liujin Qiu, Lingjuan Yu, Qing Xu
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6787-6804 (2024)
Abstract Knowledge Distillation has shown promising results for classifying skin lesions in dermatology images. Traditional knowledge distillation typically involves the student model passively mimicking the teacher model's knowledge. We propose util
Externí odkaz:
https://doaj.org/article/2c246494331b4a43a26945cc8569ca91
Publikováno v:
IEEE Access, Vol 12, Pp 113677-113693 (2024)
Skin lesion diagnosis in medical image analysis is still a difficult task. A frequent kind of cancer known as skin cancer affects people worldwide and can be fatal. As a result, early and accurate diagnosis is crucial for finding skin cancer patients
Externí odkaz:
https://doaj.org/article/5dff60f6d219483aa3b94d8edb69f4d5
Publikováno v:
IEEE Access, Vol 12, Pp 50738-50754 (2024)
Skin lesion classification is a pivotal process in dermatology, enabling the early detection and precise diagnosis of skin diseases, leading to improved patient outcomes. Deep learning has shown great potential for this task by leveraging its ability
Externí odkaz:
https://doaj.org/article/144806b19915466784835cfcf30be75a
Publikováno v:
IEEE Access, Vol 12, Pp 16498-16513 (2024)
Skin cancer is one of the most common types of cancer globally. Despite the remarkable advancements of deep learning methods in computer vision, automatic diagnosis of skin diseases still faces challenges such as limited data and class imbalance. Gen
Externí odkaz:
https://doaj.org/article/375130bf049f4f52ad2f71df3ce4e25c
Publikováno v:
Alexandria Engineering Journal, Vol 78, Iss , Pp 35-44 (2023)
Melanoma skin cancer is a widely occurring disease over the globe and it is needed to identify the disease at the initial stages. Recent technologies like Internet of Things (IoT) have aimed to design efficient healthcare system. Besides, deep learni
Externí odkaz:
https://doaj.org/article/2c70d90f25f844d383b5dd0f9d2b6f01