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 …
Classification of skin cancer from dermoscopic images using deep neural network architectures
A powerful medical decision support system for classifying skin lesions from dermoscopic
images is an important tool to prognosis of skin cancer. In the recent years, Deep …
images is an important tool to prognosis of skin cancer. In the recent years, Deep …
Simultaneous photodiagnosis and photodynamic treatment of metastatic melanoma
C Naidoo, CA Kruger, H Abrahamse - Molecules, 2019 - mdpi.com
Metastatic melanoma (MM) has a poor prognosis and is attributed to late diagnoses only
when metastases has already occurred. Thus, early diagnosis is crucial to improve its …
when metastases has already occurred. Thus, early diagnosis is crucial to improve its …
Automatic segmentation of melanoma skin cancer using transfer learning and fine-tuning
The massive use of multimedia technologies has enabled the exploration of information in
many data such as texts, audio, videos, and images. Computational methods are being …
many data such as texts, audio, videos, and images. Computational methods are being …
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 …
Skin melanoma classification using ROI and data augmentation with deep convolutional neural networks
Automatic classification of color images of skin helps clinicians and dermatologists in
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …
Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model
Leukaemia is a dysfunction that affects the production of white blood cells in the bone
marrow. Young cells are abnormally produced, replacing normal blood cells. Consequently …
marrow. Young cells are abnormally produced, replacing normal blood cells. Consequently …
Multi-class skin lesion classification using prism-and segmentation-based fractal signatures
JA Camacho-Gutiérrez, S Solorza-Calderón… - Expert Systems with …, 2022 - Elsevier
Today, due to technological advances, specialists can count on a wide range of computer-
aided diagnostic applications. However, there are still significant challenges to overcome …
aided diagnostic applications. However, there are still significant challenges to overcome …
Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification
Melanoma is a skin disease with a high fatality rate. Early diagnosis of melanoma can
effectively increase the survival rate of patients. There are three types of dermoscopy …
effectively increase the survival rate of patients. There are three types of dermoscopy …
Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion
H El-khatib, AM Ștefan, D Popescu - Applied Sciences, 2023 - mdpi.com
The incidence of melanoma cases continues to rise, underscoring the critical need for early
detection and treatment. Recent studies highlight the significance of deep learning in …
detection and treatment. Recent studies highlight the significance of deep learning in …