Computer Aided Diagnosis of Eyelid skin tumors Using Machine Learning
Author: Ofira Zloto
Base Hospital / Institution: Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Rapid fire oral presentation
Abstract ID: 24-119
Purpose
To develop an automated, new framework based on machine learning to diagnose malignant eyelid skin tumors.
Methods
This study utilized eyelid lesion images from Sheba Medical Center, a large tertiary center in Israel. Before model training, we pre-trained our models on the ISIC 2019 dataset consisting of 25,332 images. The proprietary eyelid dataset was then used for fine-tuning. The dataset contained multiple images per patient, aiming to classify malignant lesions in comparison to benign counterparts.
Results
: The analyzed dataset consisted of images representing both benign and malignant eyelid lesions. For the benign category, a total of 373 images were sourced. In comparison, the malignant category 186 images. Based on the accuracy values, the model with 3 epochs and a learning rate of 0.0001 exhibited the best performance, achieving an accuracy of 0.748 with a standard deviation of 0.034. At sensitivity 69% the model has a corresponding specificity of 82%. To further understand the decision-making process of our model, we employed heatmap visualization techniques, specifically Gradient-weighted Class Activation Mapping.
Conclusion
This study introduces, for the first time, a dependable model-aided diagnostic technology for assessing eyelid skin lesions. The model demonstrated accuracy comparable to human evaluation, effectively determining whether a lesion raises a high suspicion of malignancy or is benign. Such a model has the potential to alleviate the burden on the healthcare system, particularly benefiting rural areas, and enhancing the efficiency of clinicians and the overall healthcare.
Additional Authors
| First name | Last name | Base Hospital / Institution |
|---|---|---|
| Ofir | Fogel | Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
| Guy | Ben Simon | Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
| Mordechai | Rosner | Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
| Vicktoria | Vishnevskia-Dai | Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
| Avner | Hostovsky | Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
| Eyal | Klang | Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
