A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …
processing with the advancement of deep learning in natural image classification, detection …
[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
Skin is one of the most significant organs, which serves as a barrier to the outside
surroundings of the human body. To improve mortality, skin disease detection at a prior …
surroundings of the human body. To improve mortality, skin disease detection at a prior …
Deep learning methods for accurate skin cancer recognition and mobile application
Although many efforts have been made through past years, skin cancer recognition from
medical images is still an active area of research aiming at more accurate results. Many …
medical images is still an active area of research aiming at more accurate results. Many …
Melanoma detection using deep learning-based classifications
One of the most prevalent cancers worldwide is skin cancer, and it is becoming more
common as the population ages. As a general rule, the earlier skin cancer can be …
common as the population ages. As a general rule, the earlier skin cancer can be …
Skin lesion classification based on deep convolutional neural networks architectures
J Saeed, S Zeebaree - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …
disorders, which may be further classified into several types based on morphological …
An automated deep learning models for classification of skin disease using Dermoscopy images: A comprehensive study
With the explosion of advanced Information and Recognition model, primarily the Deep
Learning (DL) and Transfer Learning (TL) models, all aspects of recent research have been …
Learning (DL) and Transfer Learning (TL) models, all aspects of recent research have been …
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 …
A deep convolutional neural network-based pigmented skin lesion classification application and experts evaluation
O Sevli - Neural Computing and Applications, 2021 - Springer
Pigmented skin lesions are common spots or growths on the skin that originate from
melanocyte cells. Skin cancer occurs as a result of the uncontrolled division of melanocyte …
melanocyte cells. Skin cancer occurs as a result of the uncontrolled division of melanocyte …
Melanoma skin lesions classification using deep convolutional neural network with transfer learning
Skin cancer is basically the unnatural growth of skin tissues and it can be fatal. Lately, it has
evolved into one of the most perilous types of other cancers in the human body. Premature …
evolved into one of the most perilous types of other cancers in the human body. Premature …