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15, 23612364 10.1002/cbic.201402312 [DOI] [PubMed] [Google Scholar] 192.Khodade V.S., Aggarwal S.C., Eremiev A., Bao E., Porche S
Data availability HAM10000 dataset: Abbreviations ANFIS: Adaptive neuro-fuzzy inference system AK: Actinic keratosis ANN: Artificial neural network AUC: Area under the curve BCC: Basal cell carcinoma CAD: Computer-aided diagnosis CRI: Radiograph image CNN: Convolution neural networks DF: Dermatofibroma DT: Decision tree FFNN: Feed-forward neural network GLCM: Gray level co-occurrence matrix GF: Gaussian filtering HKNN: Hierarchical KNN classifier ISIC: International Skin Imaging Collaboration KNN: K-nearest neighbor LBP: Local binary patterns LSTMs: Long short-term memory networks pyogenic gg: Pyogenic granulomas and hemorrhage RF: Random forest ReLU: Rectified linear unit ROC: Receiver operating characteristic RNN: Recurrent neural networks SCC: Squamous cell carcinoma SVM: Support vector machine WHO: World Health Organization ViTs: Vision transformers XAI: Explainable AI References Miller, K
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Finally, in view of several recent reports (4-12), orderly development of rat fistulas (made by direct sutured anastomosis between the two structures (10-12)), fistulas suddenly developed, relentlessly progressive (even for a period of several weeks or more, if not lethal) (10-12) might accordingly reproduce the phenomenon of poor fistulas healing which may occur during spontaneous disease
