| Acronyms | Expanded Form | Acronyms | Expanded Form |
| ABCD | Asymmetry, Border, Color, Diameter | AI | Artificial Intelligence |
| AKIEC | Actinic Keratoses and Intraepithelial Carcinoma | AUC | Area Under the Curve |
| BCC | Basal Cell Carcinoma | BKLs | Benign Keratosis-like Lesions |
| CAD | Computer-Aided Detection | CNNs | Convolutional Neural Networks |
| COCO | Common Objects in Context | DCNNs | Deep Convolutional Neural Networks |
| DF | Dermatofibroma | EIS | Electrical Impedance Spectroscopy |
| F1 | F1 Score | Gradio | Gradio (Python Package) |
| HAM | HAM10000 Dataset | ISIC | International Skin Imaging Collaboration |
| MEL | Melanoma | MSI | Multispectral Imaging |
| NDOELM | Non-destructive Online Ensemble Learning Method | NMSC | Non-Melanoma Skin Cancer |
| NV | Melanocytic Nevi | PC | Personal Computer |
| PSNR | Peak Signal-to-Noise Ratio | RCM | Reflectance Confocal Microscopy |
| ResNet | Residual Network | RGB | Red, Green, Blue |
| ROC | Receiver Operating Characteristic | SGD | Stochastic Gradient Descent |
| SSIM | Structural Similarity Index Measure | SVM | Support Vector Machine |
| VASCs | Vascular Lesions | VGG | Visual Geometry Group |