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 …
Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
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 …
A multi-class skin Cancer classification using deep convolutional neural networks
Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …
[HTML][HTML] DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Abstract Background and Objective: Although automated Skin Lesion Classification (SLC) is
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …
Skin cancer detection using combined decision of deep learners
Cancer is a deadly disease that arises due to the growth of uncontrollable body cells. Every
year, a large number of people succumb to cancer and it's been labeled as the most serious …
year, a large number of people succumb to cancer and it's been labeled as the most serious …
Multiclass skin cancer classification using ensemble of fine-tuned deep learning models
Skin cancer is a widespread disease associated with eight diagnostic classes. The
diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the …
diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the …
An intelligent mechanism to detect multi-factor skin cancer
Deep learning utilizing convolutional neural networks (CNNs) stands out among the state-of-
the-art procedures in PC-supported medical findings. The method proposed in this paper …
the-art procedures in PC-supported medical findings. The method proposed in this paper …
Solo or ensemble? choosing a cnn architecture for melanoma classification
Convolutional neural networks (CNNs) deliver exceptional results for computer vision,
including medical image analysis. With the growing number of available architectures …
including medical image analysis. With the growing number of available architectures …
A deep CNN transformer hybrid model for skin lesion classification of dermoscopic images using focal loss
Skin cancers are the most cancers diagnosed worldwide, with an estimated> 1.5 million new
cases in 2020. Use of computer-aided diagnosis (CAD) systems for early detection and …
cases in 2020. Use of computer-aided diagnosis (CAD) systems for early detection and …