Deep learning solutions for skin cancer detection and diagnosis
Skin cancer, a concerning public health predicament, with over 5,000,000 newly identified
cases every year, just in the United States. Generally, skin cancer is of two types: melanoma …
cases every year, just in the United States. Generally, skin cancer is of two types: melanoma …
Skin cancer detection using convolutional neural network
DC Malo, MM Rahman, J Mahbub… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …
DeepSkin: a deep learning approach for skin cancer classification
Skin cancer is one of the most rapidly spreading illnesses in the world and because of the
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …
Skin lesion classification using hybrid deep neural networks
Skin cancer is one of the major types of cancers with an increasing incidence over the past
decades. Accurately diagnosing skin lesions to discriminate between benign and malignant …
decades. Accurately diagnosing skin lesions to discriminate between benign and malignant …
Skin cancer detection using deep learning—a review
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 …
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
Recent advances in deep learning applied to skin cancer detection
AGC Pacheco, RA Krohling - arXiv preprint arXiv:1912.03280, 2019 - arxiv.org
Skin cancer is a major public health problem around the world. Its early detection is very
important to increase patient prognostics. However, the lack of qualified professionals and …
important to increase patient prognostics. However, the lack of qualified professionals and …
[HTML][HTML] A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
Skin cancer is a significant health risk that requires early detection for effective treatment.
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …
Skin lesion classification based on deep convolutional neural networks architectures
J Saeed, S Zeebaree - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …
disorders, which may be further classified into several types based on morphological …
Skin cancer classification using Convolutional neural networks
RR Subramanian, D Achuth, PS Kumar… - … on Cloud Computing …, 2021 - ieeexplore.ieee.org
There is a necessary need for early detection of skin cancer and can prevent further spread
in some cases of skin cancers, such as melanoma and focal cell carcinoma. Anyhow there …
in some cases of skin cancers, such as melanoma and focal cell carcinoma. Anyhow there …
Vision based detection and categorization of skin lesions using deep learning neural networks
V Srividhya, K Sujatha, RS Ponmagal… - Procedia Computer …, 2020 - Elsevier
Melanoma is the deadly form of skin cancer. The melanocyte serves as the cause for the
development of a malignant tumor on the skin. The dermatological photographs are used to …
development of a malignant tumor on the skin. The dermatological photographs are used to …