Melanoma classification using a novel deep convolutional neural network with dermoscopic images
… to classify melanoma skin cancer with high efficiency. For this study, dermoscopic images
containing different cancer samples were obtained from the International Skin Imaging …
containing different cancer samples were obtained from the International Skin Imaging …
Melanoma classification on dermoscopy images using a neural network ensemble model
F Xie, H Fan, Y Li, Z Jiang, R Meng… - … on medical imaging, 2016 - ieeexplore.ieee.org
… classification performance by imposing a color constancy constraint [17]. The features in [16]
and [17] were extracted from image … Here, we proposed a dermoscopy tumor classification …
and [17] were extracted from image … Here, we proposed a dermoscopy tumor classification …
Melanoma diagnosis using deep learning techniques on dermatoscopic images
MF Jojoa Acosta, LY Caballero Tovar… - … Medical Imaging, 2021 - Springer
… melanomas would not be detected using visual inspection. In our proposed model, the
conclusive analysis of dermatoscopic images … We propose an automated classification method for …
conclusive analysis of dermatoscopic images … We propose an automated classification method for …
Melanoma classification from dermoscopy images using ensemble of convolutional neural networks
… , and classification. Hence, more attention is being paid to deep learning-based methods for
melanoma … for acral lentiginous melanoma identification from dermoscopy images. The main …
melanoma … for acral lentiginous melanoma identification from dermoscopy images. The main …
Classification of melanoma from dermoscopic images using machine learning
S Gulati, RK Bhogal - … Computing and Applications: Proceedings of the …, 2020 - Springer
… classification of melanoma and non-melanoma. Initially, pre-processing steps are executed
to cleanse and enhance dermoscopic images … and efficient classification of melanoma and …
to cleanse and enhance dermoscopic images … and efficient classification of melanoma and …
Melanoma detection and classification using computerized analysis of dermoscopic systems: a review
… Some known screening methods for melanoma … melanoma detection methods are discussed:
dermoscopy (traditional) and computer-aided detection system or digital dermoscopy [22]. …
dermoscopy (traditional) and computer-aided detection system or digital dermoscopy [22]. …
Melanoma classification using dermoscopy imaging and ensemble learning
G Schaefer, B Krawczyk, ME Celebi… - 2013 2nd IAPR Asian …, 2013 - ieeexplore.ieee.org
… an effective approach to melanoma classification from dermoscopic images of skin … image
into clinically significant regions. The derived features are then used in a pattern classification …
into clinically significant regions. The derived features are then used in a pattern classification …
Computational Intelligence‐Based Melanoma Detection and Classification Using Dermoscopic Images
… This study developed a novel CIMDC-DI approach for melanoma identification and
classification using dermoscopic images. The presented CIMDC-DI model involves BF-enabled …
classification using dermoscopic images. The presented CIMDC-DI model involves BF-enabled …
Melanoma recognition in dermoscopy images via aggregated deep convolutional features
… Finally, the FV encoded representations are used to classify melanoma images using a
support vector machine with a Chi-squared kernel. Our proposed method is capable of …
support vector machine with a Chi-squared kernel. Our proposed method is capable of …
Classification of melanoma from Dermoscopic data using machine learning techniques
B Janney. J, SE Roslin - Multimedia tools and applications, 2020 - Springer
… We have developed an efficient image classification system of melanoma which classifies
the skin lesions into benign and malignant. The input image is pre-processed by anisotropic …
the skin lesions into benign and malignant. The input image is pre-processed by anisotropic …
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