Diagnosis of skin cancer using deep EfficientNet learning model

Albahar MA. Skin lesion classification using convolutional neural network with novel regularizer. IEEE Access. 2019;7:38306–13.

Article  Google Scholar 

Ashraf R, Afzal S, Rehman AU, Gul S, Baber J, Bakhtyar M, Mehmood I, Song OY, Maqsood M. Region-of-interest based transfer learning assisted framework for skin cancer detection. IEEE Access. 2020;8:147858–71.

Article  Google Scholar 

Hasan HA, Ibrahim AA. Hybrid Detection Techniques for Skin Cancer Images. In2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) 2020 Oct 22 (pp. 1–8). IEEE.

Wei L, Ding K, Hu H. Automatic skin cancer detection in dermoscopy images based on ensemble lightweight deep learning network. IEEE Access. 2020;8:99633–47.

Article  Google Scholar 

Rezaoana N, Hossain MS, Andersson K. Detection and classification of skin cancer by using a parallel CNN model. In2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) 2020 Dec 26 (pp. 380–386). IEEE.

Janoria H, Minj J, Patre P. Classification of Skin Disease from Skin images using Transfer Learning Technique. In2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) 2020 Nov 5 (pp. 888–895). IEEE.

Alom MZ, Aspiras T, Taha TM, Asari VK. Skin cancer segmentation and classification with NABLA-N and inception recurrent residual convolutional networks. ArXiv Preprint ArXiv:1904.11126. 2019 Apr 25.

Zhang J, Xie Y, Xia Y, Shen C. Attention residual learning for skin lesion classification. IEEE Trans Med Imaging. 2019;38(9):2092–103.

Article  Google Scholar 

Adegun AA, Viriri S. Deep learning-based system for automatic melanoma detection. IEEE Access. 2019;8:7160–72.

Article  Google Scholar 

Wang Q, Sun L, Wang Y, Zhou M, Hu M, Chen J, Wen Y, Li Q. Identification of melanoma from hyperspectral pathology image using 3D convolutional networks. IEEE Trans Med Imaging. 2020;40(1):218–27.

Article  Google Scholar 

Pham TC, Doucet A, Luong CM, Tran CT, Hoang VD. Improving skin-disease classification based on customized loss function combined with balanced mini-batch logic and real-time image augmentation. IEEE Access. 2020;8:150725–37.

Article  Google Scholar 

Gálvez JM, Castillo-Secilla D, Herrera LJ, Valenzuela O, Caba O, Prados JC, Ortuño FM, Rojas I. Towards improving skin cancer diagnosis by integrating microarray and RNA-seq datasets. IEEE J Biomedical Health Inf. 2019;24(7):2119–30.

Article  Google Scholar 

Gu Y, Ge Z, Bonnington CP, Zhou J. Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classification. IEEE J Biomedical Health Inf. 2019;24(5):1379–93.

Article  Google Scholar 

Díaz S, Krohmer T, Moreira Á, Godoy SE, Figueroa M. An instrument for accurate and non-invasive screening of skin cancer based on multimodal imaging. IEEE Access. 2019;7:176646–57.

Article  Google Scholar 

Bian J, Zhang S, Wang S, Zhang J, Guo J. Skin lesion classification by Multi-View filtered transfer learning. IEEE Access. 2021;9:66052–61.

Article  Google Scholar 

Kwasigroch A, Grochowski M, Mikołajczyk A. Neural architecture search for skin lesion classification. IEEE Access. 2020;8:9061–71.

Article  Google Scholar 

Naeem A, Farooq MS, Khelifi A, Abid A. Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities. IEEE Access. 2020;8:110575–97.

Article  Google Scholar 

Zhou Q, Shi Y, Xu Z, Qu R, Xu G. Classifying melanoma skin lesions using convolutional spiking neural networks with unsupervised Stdp learning rule. IEEE Access. 2020;8:101309–19.

Article  Google Scholar 

Gong A, Yao X, Lin W. Classification for dermoscopy images using convolutional neural networks based on the ensemble of individual advantage and group decision. IEEE Access. 2020;8:155337–51.

Article  Google Scholar 

Theerthagiri P, Ruby AU, George Chellin Chandran J. Prediction and classification of minerals using deep residual neural network. Neural Computing and Applications. 2024;36(4):1539–51.

Article  Google Scholar 

Theerthagiri P. Stress emotion recognition with discrepancy reduction u

Article  Google Scholar 

Comments (0)

No login
gif