Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey
The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …
dangerous kinds of cancer. Various pathological variations in the human body can cause …
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 …
Detection of skin cancer based on skin lesion images using deep learning
An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
Melanoma detection using deep learning-based classifications
One of the most prevalent cancers worldwide is skin cancer, and it is becoming more
common as the population ages. As a general rule, the earlier skin cancer can be …
common as the population ages. As a general rule, the earlier skin cancer can be …
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
L Zhang, J Zhang, W Gao, F Bai, N Li… - … Signal Processing and …, 2024 - Elsevier
Skin cancer is a risky ailment that can be effectively managed if detected promptly. However,
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …
An efficient deep learning-based skin cancer classifier for an imbalanced dataset
Efficient skin cancer detection using images is a challenging task in the healthcare domain.
In today's medical practices, skin cancer detection is a time-consuming procedure that may …
In today's medical practices, skin cancer detection is a time-consuming procedure that may …
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 …
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …