Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review
R Daneshjou, MP Smith, MD Sun… - JAMA …, 2021 - jamanetwork.com
Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
[HTML][HTML] 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 developing computer-aided diagnosis …
researchers have shown an increasing interest in developing 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 …
[HTML][HTML] AI for radiographic COVID-19 detection selects shortcuts over signal
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …
[HTML][HTML] Melanoma classification using a novel deep convolutional neural network with dermoscopic images
Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …
However, using a deep learning approach as a machine vision tool can overcome some …
[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 …
[HTML][HTML] Multiclass skin lesion classification using hybrid deep features selection and extreme learning machine
The variation in skin textures and injuries, as well as the detection and classification of skin
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
[HTML][HTML] Modified U-net architecture for segmentation of skin lesion
Dermoscopy images can be classified more accurately if skin lesions or nodules are
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
[HTML][HTML] Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization
Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
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 …