32 Curated Categories of Skin Disease Images

Description

A curated image dataset with 32 classes This dataset was obtained from the websites https://www.kaggle.com/datasets/kelixo25/31-classes-of-skin-disease and https://www.kaggle.com/datasets/ahdasdwdasd/our-normal-skin This dataset is contain of clinical and dermatoscopy images This dataset contains 32 class names as follows: 0. Actinic Keratosis (AK) 1. Basal Cell Carcinoma (BCC) 2. Darier’s Disease (DD) 3. Dermatofibroma (DF) 4. Epidermolysis Bullosa Pruriginosa (EBP) 5. Hailey-Hailey Disease (HHD) 6. Herpes Simplex (HS) 7. Impetigo (IM) 8. Larva Migrans (LM) 9. Borderline Leprosy (LB) 10. Lepromatous Leprosy (LL) 11. Tuberculoid Leprosy (LT) 12. Lichen Planus (LP) 13. Discoid Chronic Lupus Erythematosus (LECD) 14. Melanoma (MEL) 15. Molluscum Contagiosum (MC) 16. Mycosis Fungoides (MF) 17. Neurofibromatosis (NF) 18. Nevus (NV) 19. Normal (NORM) 20. Confluent and Reticular Papillomatosis (PCR) 21. Pediculosis Capitis (PC) 22. Pigmented Benign Keratosis (PBK) 23. Pityriasis Rosea (PR) 24. Actinic Porokeratosis (PA) 25. Psoriasis (PSO) 26. Seborrheic Keratosis (SK) 27. Squamous Cell Carcinoma (SCC) 28. Tinea Corporis (TC) 29. Tinea Nigra (TIN) 30. Tungiasis (TUN) 31. Vascular Lesion (VASC)

Steps to reproduce

1. Download dataset 2. Split data into train/val/test (80/10/10) 3. Apply augmentation (flip, rotation, etc.) 4. Train model using pretrained model for transfer learning 5. Evaluate using accuracy, precision, recall, F1-score

Institutions

• Diponegoro University

  Central Java, Semarang

Categories

Funders

• Lembaga Pengelola Dana Pendidikan

  Jakarta

Licence