Skin cancer segmentation and classification with improved deep convolutional neural network
In the last few years, Deep Learning (DL) has been showing superior performance in
different modalities of bio-medical image analysis. Several DL architectures have been …
different modalities of bio-medical image analysis. Several DL architectures have been …
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
Background and objective Computer automated diagnosis of various skin lesions through
medical dermoscopy images remains a challenging task. Methods In this work, we propose …
medical dermoscopy images remains a challenging task. Methods In this work, we propose …
Detecting skin lesions fusing handcrafted features in image network ensembles
M Sharafudeen - Multimedia Tools and Applications, 2023 - Springer
Skin cancer is the most prevalent genre of all cancers. Melanoma, being the deadliest of all
skin cancers, calls for the requirement of an automated Artificial Intelligence-based skin …
skin cancers, calls for the requirement of an automated Artificial Intelligence-based skin …
Melanoma classification in dermoscopy images via ensemble learning on deep neural network
Auotmatic melanoma classification in dermoscopy images is a very important task, which
can help improve diagnostic accuracy and reduce mortality. Deep convolutional neural …
can help improve diagnostic accuracy and reduce mortality. Deep convolutional neural …
SCDNet: a deep learning-based framework for the multiclassification of skin cancer using dermoscopy images
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival.
Deep learning algorithms for skin cancer detection have become popular in recent years. A …
Deep learning algorithms for skin cancer detection have become popular in recent years. A …
Skin lesion analysis towards melanoma detection using optimized deep learning network
ST Sukanya, S Jerine - Multimedia Tools and Applications, 2023 - Springer
The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier
stages significantly raises the rate of survival. Nevertheless, the precise detection of …
stages significantly raises the rate of survival. Nevertheless, the precise detection of …
A multilevel features selection framework for skin lesion classification
Melanoma is considered to be one of the deadliest skin cancer types, whose occurring
frequency elevated in the last few years; its earlier diagnosis, however, significantly …
frequency elevated in the last few years; its earlier diagnosis, however, significantly …
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
Background and objective Efficient segmentation of skin lesion in dermoscopy images can
improve the classification accuracy of skin diseases, which provides a powerful approach for …
improve the classification accuracy of skin diseases, which provides a powerful approach for …
Melanoma segmentation using deep learning with test-time augmentations and conditional random fields
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in
shape and size of the skin lesion makes the segmentation task more challenging. Lesion …
shape and size of the skin lesion makes the segmentation task more challenging. Lesion …
[HTML][HTML] Deep neural networks are superior to dermatologists in melanoma image classification
Background Melanoma is the most dangerous type of skin cancer but is curable if detected
early. Recent publications demonstrated that artificial intelligence is capable in classifying …
early. Recent publications demonstrated that artificial intelligence is capable in classifying …