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 …
Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in develo** computer-aided diagnosis …
researchers have shown an increasing interest in develo** computer-aided diagnosis …
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 …
Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network
Skin cancer is caused due to unusual development of skin cells and deadly type cancer.
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …
information technology industry's rapid development. Smart healthcare uses next-generation …
[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 …
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
Melanoma is the fastest growing and most lethal cancer among all forms of skin cancer.
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …
Double AMIS-ensemble deep learning for skin cancer classification
This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
[Retracted] A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
Skin cancer is one of the most common diseases that can be initially detected by visual
observation and further with the help of dermoscopic analysis and other tests. As at an initial …
observation and further with the help of dermoscopic analysis and other tests. As at an initial …
Breast cancer detection using mammogram images with improved multi-fractal dimension approach and feature fusion
Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …
disease diagnostics. We propose a new method for the classification of benign or malignant …