SKIN LESION CLASSIFICATION FROM DERMOSCOPIC IMAGES USING DEEP LEARNING TECHNIQUES
GitHub - temcavanagh/Skin-Cancer-Detection: Implementing and comparing ResNet50 and MobileNetV2 transfer learning models using the MNIST:HAM10000 image dataset. Resulting classification accuracy of ~90%.
Skin Cancer MNIST: HAM10000 | Kaggle
Skin Cancer ISIC | Kaggle
Skin Cancer MNIST: HAM10000 | Kaggle
Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge - The Lancet Digital Health
Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients | Scientific Reports
Frontiers | Early and accurate detection of melanoma skin cancer using hybrid level set approach
Skin Cancer Segmentation and Classification : University of Dayton, Ohio
ISIC2017: Skin Lesion Analysis Towards Melanoma Detection - Academic Torrents
203 - Skin cancer lesion classification using the HAM10000 dataset - YouTube
![Sample skin lesion types collected from the HAM10000 dataset [23]. | Download Scientific Diagram](https://www.researchgate.net/publication/351160762/figure/fig4/AS:1017961879961601@1619712433872/Sample-skin-lesion-types-collected-from-the-HAM10000-dataset-23.png "Sample skin lesion types collected from the HAM10000 dataset [23]. | Download Scientific Diagram")
Sample skin lesion types collected from the HAM10000 dataset [23]. | Download Scientific Diagram
.png "Binary Classification on Skin Cancer Dataset Using DL - Analytics Vidhya")
Binary Classification on Skin Cancer Dataset Using DL - Analytics Vidhya
Sensors | Free Full-Text | Deep Learning-Based Transfer Learning for Classification of Skin Cancer
A patient-centric dataset of images and metadata for identifying melanomas using clinical context | Scientific Data
Melanoma Detection Dataset | Kaggle
Applied Sciences | Free Full-Text | Skin Cancer Classification Framework Using Enhanced Super Resolution Generative Adversarial Network and Custom Convolutional Neural Network
Skin Cancer Detection | Vision and Image Processing Lab | University of Waterloo
Doctor Hazel: A Real Time AI Device for Skin Cancer Detection
Skin cancer dataset and labels. | Download Scientific Diagram
Skin cancer detection based on deep learning and entropy to detect outlier samples | DeepAI
Skin Cancer ISIC | Kaggle
An example of skin lesions dataset utilized in the development of... | Download Scientific Diagram
Sample skin cancer images from HAM10000 dataset (a) Actinic keratosis... | Download Scientific Diagram
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