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Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images.

, , , and . Sensors, 22 (3): 1134 (2022)

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Deep Learning Model with Atrous Convolutions for Improving Skin Cancer Classification., and . PSIVT, volume 14403 of Lecture Notes in Computer Science, page 422-435. Springer, (2023)Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images., , , and . BMC Medical Imaging, 22 (1): 103 (2022)Hairlines removal and low contrast enhancement of melanoma skin images using convolutional neural network with aggregation of contextual information., , and . Biomed. Signal Process. Control., (2022)Analyzing the Impact of Image Denoising and Segmentation on Melanoma Classification Using Convolutional Neural Networks., and . EMBC, page 1-4. IEEE, (2023)Skin lesion segmentation using an improved framework of encoder-decoder based convolutional neural network., , and . Int. J. Imaging Syst. Technol., 32 (4): 1143-1158 (2022)Multi-Class Classification of Melanoma on an Edge Device., , , and . ICM, page 46-51. IEEE, (2023)Melanoma Classification Using Deep Learning., , , and . PSIVT, volume 14403 of Lecture Notes in Computer Science, page 259-272. Springer, (2023)Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images., , , and . Sensors, 22 (3): 1134 (2022)Synthetic Images Generation Using Conditional Generative Adversarial Network for Skin Cancer Classification., , and . TENCON, page 381-386. IEEE, (2021)Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images Using Modified and Improved Encoder-Decoder Architecture., , and . ISGV, volume 1386 of Communications in Computer and Information Science, page 39-52. Springer, (2021)