[HTML][HTML] 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 …
[HTML][HTML] Diagnosing melanomas in Dermoscopy images using deep learning
When it comes to skin tumors and cancers, melanoma ranks among the most prevalent and
deadly. With the advancement of deep learning and computer vision, it is now possible to …
deadly. With the advancement of deep learning and computer vision, it is now possible to …
[HTML][HTML] Internet of things-assisted smart skin cancer detection using metaheuristics with deep learning model
Simple Summary The Internet of Things (IoT) uses connected devices and sensors, like high-
resolution cameras and specific sensors in wearable devices, for the collection of skin …
resolution cameras and specific sensors in wearable devices, for the collection of skin …
[HTML][HTML] 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 …
[HTML][HTML] Skin Type Diversity in Skin Lesion Datasets: A Review
N Alipour, T Burke, J Courtney - Current Dermatology Reports, 2024 - Springer
Purpose of review Skin type diversity in image datasets refers to the representation of
various skin types. This diversity allows for the verification of comparable performance of a …
various skin types. This diversity allows for the verification of comparable performance of a …
Tackling the class imbalanced dermoscopic image classification using data augmentation and GAN
Dermoscopy is a noninvasive way to examine and diagnose skin lesions, eg nevus and
melanoma, and is a critical step for skin cancer detection. Accurate classification of …
melanoma, and is a critical step for skin cancer detection. Accurate classification of …
Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble
MM Hossain, MM Hossain, MB Arefin, F Akhtar, J Blake - Diagnostics, 2023 - mdpi.com
Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …
diagnosis for effective treatment. While recent advances in deep learning have dramatically …
FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation
Early detection is essential for the successful removal of all malignant lesions from the body,
and skin cancer is one of the most widespread cancers globally. In medical image analysis …
and skin cancer is one of the most widespread cancers globally. In medical image analysis …
Hexa-gan: Skin lesion image inpainting via hexagonal sampling based generative adversarial network
Skin cancer is the uncontrollable proliferation of abnormal cells in the epidermis. In manual
examination, the dermoscopic images are used by clinicians to detect skin cancer. However …
examination, the dermoscopic images are used by clinicians to detect skin cancer. However …
[HTML][HTML] SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …
the fast growth in population density. Intelligent systems assist medical professionals in early …