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[HTML][HTML] Artificial intelligence in dermatology image analysis: current developments and future trends
Z Li, KC Koban, TL Schenck, RE Giunta, Q Li… - Journal of clinical …, 2022 - mdpi.com
Background: Thanks to the rapid development of computer-based systems and deep-
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
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 …
[PDF][PDF] A machine learning model for skin disease classification using convolution neural network
VR Allugunti - … Journal of Computing, Programming and Database …, 2022 - researchgate.net
Melanoma is a skin disease that tends to be lethal. It occurs when melanocytes develop in
an uncontrolled manner. Melanoma goes under a few different names, including malignant …
an uncontrolled manner. Melanoma goes under a few different names, including malignant …
Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Human Skin cancer is commonly detected visually through clinical screening followed by a
dermoscopic examination. However, automated skin lesion classification remains …
dermoscopic examination. However, automated skin lesion classification remains …
[HTML][HTML] Analysis of the ISIC image datasets: Usage, benchmarks and recommendations
Abstract The International Skin Imaging Collaboration (ISIC) datasets have become a
leading repository for researchers in machine learning for medical image analysis …
leading repository for researchers in machine learning for medical image analysis …
An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Objective This study aims to develop and test a new computer-aided diagnosis (CAD)
scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia …
scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia …
Transfer learning for medical images analyses: A survey
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …
science and also revitalized numerous fields where traditional machine learning methods …
Application of semi-supervised learning in image classification: Research on fusion of labeled and unlabeled data
Deep learning has attracted wide attention recently because of its excellent feature
representation ability and end-to-end automatic learning method. Especially in clinical …
representation ability and end-to-end automatic learning method. Especially in clinical …