[HTML][HTML] DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
[HTML][HTML] Analysis of artificial intelligence-based approaches applied to non-invasive imaging for early detection of melanoma: a systematic review
Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
[HTML][HTML] Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …
[HTML][HTML] AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features
Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …
early. Many skin lesions are similar in the early stages, which causes an inaccurate …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images
This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
[HTML][HTML] SBXception: a shallower and broader xception architecture for efficient classification of skin lesions
Simple Summary Skin cancer is a major concern worldwide, and accurately identifying it is
crucial for effective treatment. we propose a modified deep learning model called …
crucial for effective treatment. we propose a modified deep learning model called …
[HTML][HTML] A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Artificial intelligence (AI) systems can assist in analyzing medical images and aiding in the
early detection of diseases. AI can also ensure the quality of services by avoiding …
early detection of diseases. AI can also ensure the quality of services by avoiding …
[HTML][HTML] Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 …
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
[HTML][HTML] DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …