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 …
Automatic skin lesion segmentation and melanoma detection: Transfer learning approach with u-net and dcnn-svm
Industrial pollution resulting in ozone layer depletion has influenced increased UV radiation
in recent years which is a major environmental risk factor for invasive skin cancer …
in recent years which is a major environmental risk factor for invasive skin cancer …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Region-of-interest based transfer learning assisted framework for skin cancer detection
Melanoma is considered the most serious type of skin cancer. All over the world, the
mortality rate is much high for melanoma in contrast with other cancer. There are various …
mortality rate is much high for melanoma in contrast with other cancer. There are various …
Melanoma classification using a novel deep convolutional neural network with dermoscopic images
Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …
However, using a deep learning approach as a machine vision tool can overcome some …
An end-to-end multi-task deep learning framework for skin lesion analysis
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this
paper, we propose an end-to-end multi-task deep learning framework for automatic skin …
paper, we propose an end-to-end multi-task deep learning framework for automatic skin …
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering
Objective Melanoma is a dangerous form of the skin cancer responsible for thousands of
deaths every year. Early detection of melanoma is possible through visual inspection of …
deaths every year. Early detection of melanoma is possible through visual inspection of …
Melanoma diagnosis using deep learning techniques on dermatoscopic images
MF Jojoa Acosta, LY Caballero Tovar… - BMC Medical …, 2021 - Springer
Background Melanoma has become more widespread over the past 30 years and early
detection is a major factor in reducing mortality rates associated with this type of skin cancer …
detection is a major factor in reducing mortality rates associated with this type of skin cancer …
Melanoma diagnosis using deep learning and fuzzy logic
Melanoma or malignant melanoma is a type of skin cancer that develops when melanocyte
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …
Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities
Melanoma remains the most harmful form of skin cancer. Convolutional neural network
(CNN) based classifiers have become the best choice for melanoma detection in the recent …
(CNN) based classifiers have become the best choice for melanoma detection in the recent …