[HTML][HTML] Artificial intelligence for skin cancer detection: scoping review
Background Skin cancer is the most common cancer type affecting humans. Traditional skin
cancer diagnosis methods are costly, require a professional physician, and take time …
cancer diagnosis methods are costly, require a professional physician, and take time …
State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review
Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …
A review on automated cancer detection in medical images using machine learning and deep learning based computational techniques: Challenges and …
Cancer is one of the most deadly diseases diagnosed among the population across the
globe so far. The number of cases is increasing at a high pace each year that subsequently …
globe so far. The number of cases is increasing at a high pace each year that subsequently …
Melanoma detection by means of multiple instance learning
We present an application to melanoma detection of a multiple instance learning (MIL)
approach, whose objective, in the binary case, is to discriminate between positive and …
approach, whose objective, in the binary case, is to discriminate between positive and …
Wavelet-based classification of enhanced melanoma skin lesions through deep neural architectures
P Jayaraman, N Veeramani, R Krishankumar… - Information, 2022 - mdpi.com
In recent years, skin cancer diagnosis has been aided by the most sophisticated and
advanced machine learning algorithms, primarily implemented in the spatial domain. In this …
advanced machine learning algorithms, primarily implemented in the spatial domain. In this …
Classification of diabetic retinopathy based on hard exudates patterns, using images processing and SVM
F Cisneros-Guzmán, S Tovar-Arriaga… - … on Applications in …, 2019 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is an ocular disease very common on diabetic patients. It is
developed when the patient present a high level of glucose in blood which in consequence …
developed when the patient present a high level of glucose in blood which in consequence …
Comparative analysis of melanoma classification using deep learning techniques on dermoscopy images
JP Jeyakumar, A Jude, AG Priya Henry, J Hemanth - Electronics, 2022 - mdpi.com
Melanoma is developed due to disturbances in the melanocytes of the skin cells. Every
human skin color is defined by melanin, which is produced by melanocytes. Around the …
human skin color is defined by melanin, which is produced by melanocytes. Around the …
A novel deep convolutional neural network for diagnosis of skin disease
KR Kodepogu, JR Annam, A Vipparla… - Traitement du …, 2022 - search.proquest.com
Due to its intricacy, dermatology presents the most challenging and uncertain terrain for
diagnosis. Skin conditions like Carcinoma and Melanoma are frequently very challenging to …
diagnosis. Skin conditions like Carcinoma and Melanoma are frequently very challenging to …
A model for skin cancer using combination of ensemble learning and deep learning
M Hosseinzadeh, D Hussain, FM Zeki Mahmood… - Plos one, 2024 - journals.plos.org
Skin cancer has a significant impact on the lives of many individuals annually and is
recognized as the most prevalent type of cancer. In the United States, an estimated annual …
recognized as the most prevalent type of cancer. In the United States, an estimated annual …
A machine learning based melanoma skin cancer using hybrid texture features
K Meenakshi, A Adepu, VVT Nagandla… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
There is a great rise in patients afflicted with the disease Melanoma, the most unpredictable
and potentially fatal cancer. If treated in time, the fatality rate can be reduced significantly in …
and potentially fatal cancer. If treated in time, the fatality rate can be reduced significantly in …