Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency
Skin cancer is a major concern to public health, accounting for one-third of the reported
cancers. If not detected early, the cancer has the potential for severe consequences …
cancers. If not detected early, the cancer has the potential for severe consequences …
[HTML][HTML] Skin cancer detection using lightweight model souping and ensembling knowledge distillation for memory-constrained devices
In contemporary times, the escalating prevalence of skin cancer is a significant concern,
impacting numerous individuals. This work comprehensively explores advanced artificial …
impacting numerous individuals. This work comprehensively explores advanced artificial …
Skindistilvit: Lightweight vision transformer for skin lesion classification
Skin cancer is a treatable disease if discovered early. We provide a production-specific
solution to the skin cancer classification problem that matches human performance in …
solution to the skin cancer classification problem that matches human performance in …
Ssd-kd: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images
Skin cancer is one of the most common types of malignancy, affecting a large population
and causing a heavy economic burden worldwide. Over the last few years, computer-aided …
and causing a heavy economic burden worldwide. Over the last few years, computer-aided …
Soft attention improves skin cancer classification performance
In clinical applications, neural networks must focus on and highlight the most important parts
of an input image. Soft-Attention mechanism enables a neural network to achieve this goal …
of an input image. Soft-Attention mechanism enables a neural network to achieve this goal …
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification
Skin cancer is by far in top-3 of the world's most common cancer. Among different skin
cancer types, melanoma is particularly dangerous because of its ability to metastasize. Early …
cancer types, melanoma is particularly dangerous because of its ability to metastasize. Early …
Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks
Skin cancer is a severe and potentially lethal disease, and early detection is critical for
successful treatment. Traditional procedures for diagnosing skin cancer are expensive, time …
successful treatment. Traditional procedures for diagnosing skin cancer are expensive, time …
An Interpretable Deep Learning Approach for Skin Cancer Categorization
F Mahmud, MM Mahfiz, MZI Kabir… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Skin cancer is a serious worldwide health issue, precise and early detection is essential for
better patient outcomes and effective treatment. In this research, we use modern deep …
better patient outcomes and effective treatment. In this research, we use modern deep …
[HTML][HTML] A relationship-aware mutual learning method for lightweight skin lesion classification
P Liu, W Qian, H Li, J Cao - Digital Communications and Networks, 2024 - Elsevier
In recent years, deep learning has made significant advancements in skin cancer diagnosis.
However, most methods prioritize high prediction accuracy without considering the …
However, most methods prioritize high prediction accuracy without considering the …
[HTML][HTML] Skin Cancer Classification Using Fine-Tuned Transfer Learning of DENSENET-121
Skin cancer diagnosis greatly benefits from advanced machine learning techniques,
particularly fine-tuned deep learning models. In our research, we explored the impact of …
particularly fine-tuned deep learning models. In our research, we explored the impact of …