Deep learning ensembles for melanoma recognition in dermoscopy images
NCF Codella, QB Nguyen, S Pankanti… - IBM Journal of …, 2017 - ieeexplore.ieee.org
… segmentation and classification of melanoma from dermoscopic images of skin. The method
was evaluated on the largest public benchmark for melanoma recognition available. New …
was evaluated on the largest public benchmark for melanoma recognition available. New …
Automated melanoma recognition in dermoscopy images via very deep residual networks
… melanoma and non-melanoma lesions, and the existence of many artifacts in the image.
In order to meet these challenges, we propose a novel method for melanoma recognition by …
In order to meet these challenges, we propose a novel method for melanoma recognition by …
Melanoma recognition in dermoscopy images via aggregated deep convolutional features
… image, respectively. Nevertheless, these kinds of aggregated deep representations have not
yet been exploited in dermoscopy images for melanoma recognition… a melanoma. Our study …
yet been exploited in dermoscopy images for melanoma recognition… a melanoma. Our study …
Aggregating deep convolutional features for melanoma recognition in dermoscopy images
… automated melanoma recognition in dermoscorpy images, … variations between melanoma
and non-melanoma (benign). … Specifically, the deep representations of a dermoscopy image …
and non-melanoma (benign). … Specifically, the deep representations of a dermoscopy image …
Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images
… This work presents an approach for melanoma recognition in dermoscopy images that … to
draw analogies between observations in dermoscopic images and observations in the natural …
draw analogies between observations in dermoscopic images and observations in the natural …
An integrated and interactive decision support system for automated melanoma recognition of dermoscopic images
MM Rahman, P Bhattacharya - Computerized Medical Imaging and …, 2010 - Elsevier
… the automated melanoma recognition of the dermoscopic images based on image retrieval
… cases as well as predicting the image categories (eg, melanoma, benign and dysplastic nevi…
… cases as well as predicting the image categories (eg, melanoma, benign and dysplastic nevi…
An overview of melanoma detection in dermoscopy images using image processing and machine learning
… In this paper, we provide an overview of computerized detection of melanoma in dermoscopy
images. First, we discuss the various aspects of lesion segmentation. Then, we provide a …
images. First, we discuss the various aspects of lesion segmentation. Then, we provide a …
Melanoma diagnosis using deep learning techniques on dermatoscopic images
MF Jojoa Acosta, LY Caballero Tovar… - … Medical Imaging, 2021 - Springer
Background Melanoma has become more widespread over the past 30 years and early
detection is a major factor in reducing mortality rates associated with this type of skin cancer. …
detection is a major factor in reducing mortality rates associated with this type of skin cancer. …
Detection of melanoma skin cancer in dermoscopy images
… method for skin cancer detection on dermoscopy images. First, the image is pre-processed …
An approach to the detection of melanoma skin cancer from dermoscopy images has been …
An approach to the detection of melanoma skin cancer from dermoscopy images has been …
Limitations of dermoscopy in the recognition of melanoma
H Skvara, L Teban, M Fiebiger, M Binder… - Archives of …, 2005 - jamanetwork.com
… The dermoscopic images included in this study were taken from patients who were …
Both institutions offer a specialized unit equipped with a digital dermoscopic imaging system (…
Both institutions offer a specialized unit equipped with a digital dermoscopic imaging system (…
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