A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
A novel multi-task deep learning model for skin lesion segmentation and classification
In this study, a multi-task deep neural network is proposed for skin lesion analysis. The
proposed multi-task learning model solves different tasks (eg, lesion segmentation and two …
proposed multi-task learning model solves different tasks (eg, lesion segmentation and two …
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 …
Deep learning in skin lesion analysis for malignant melanoma cancer identification
MS Sivakumar, LM Leo, T Gurumekala… - Multimedia Tools and …, 2024 - Springer
The higher rate of skin diseases caused by infections, allergies, lifestyle changes, increased
use of chemicals, unhealthy food habits, and hereditary reactions, among other factors …
use of chemicals, unhealthy food habits, and hereditary reactions, among other factors …
Skin lesion analysis towards melanoma detection using deep learning network
Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy
images significantly increases the survival rate. However, the accurate recognition of …
images significantly increases the survival rate. However, the accurate recognition of …
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 …
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-based system for automatic melanoma detection
Melanoma is the deadliest form of skin cancer. Distinguishing melanoma lesions from non-
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
Deep hybrid convolutional neural network for segmentation of melanoma skin lesion
CH Yang, JH Ren, HC Huang… - Computational …, 2021 - Wiley Online Library
Melanoma is a type of skin cancer that often leads to poor prognostic responses and survival
rates. Melanoma usually develops in the limbs, including in fingers, palms, and the margins …
rates. Melanoma usually develops in the limbs, including in fingers, palms, and the margins …
Lesion segmentation and automated melanoma detection using deep convolutional neural networks and XGBoost
HN Pham, CY Koay, T Chakraborty… - … on System Science …, 2019 - ieeexplore.ieee.org
Melanoma is a lethal form of skin cancer. It is one of the leading causes of deaths related to
skin cancer. Most clinical studies show that early diagnosis of melanoma can improve …
skin cancer. Most clinical studies show that early diagnosis of melanoma can improve …