SynthDerm Dataset | Papers With Code
![Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-371/1/fig-3-2x.jpg "Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet [PeerJ]")
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet [PeerJ]
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity | PLOS ONE
Skin Cancer ISIC | Kaggle
GitHub - MRE-Lab-UMD/abd-skin-segmentation: Deep learning techniques for skin segmentation on novel abdominal dataset. Work conducted as part of the development process of an autonomous robotic ultrasound system.
Augmenting data with GANs to segment melanoma skin lesions | SpringerLink
Diverse Dermatology Images
Study shows skewed dermatological datasets result in less accurate models - MedCity News
Characteristics of publicly available skin cancer image datasets: a systematic review - The Lancet Digital Health
Applying Deep Learning to Classify Skin Cancer Types | Apriorit
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%.
De)Constructing Bias on Skin Lesion Datasets | DeepAI
202 - Two ways to read HAM10000 dataset into python for skin cancer lesion classification - YouTube
Soft-Attention Improves Skin Cancer Classification Performance | medRxiv
![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
Skin Cancer MNIST: HAM10000
.png "Binary Classification on Skin Cancer Dataset Using DL - Analytics Vidhya")
Binary Classification on Skin Cancer Dataset Using DL - Analytics Vidhya
ISIC 2017 Task 3 Dataset | Papers With Code
How I built Supervised Skin Lesion Segmentation on HAM10000 Dataset – Towards AI
PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones - ScienceDirect
Electronics | Free Full-Text | Deep Learning and Machine Learning Techniques of Diagnosis Dermoscopy Images for Early Detection of Skin Diseases
Skin Cancer ISIC | Kaggle
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions | Scientific Data
Bioengineering | Free Full-Text | Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
Chee Seng Chan - Pratheepan Dataset
Research on Dermatological Diagnosis System Based on Convolutional Neural Network
Skin cancer dataset and labels. | Download Scientific Diagram
![PDF] Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/2b9725d2f3e12a81941342a186fd5bc55f3ab38d/1-Figure1-1.png "PDF] Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting | Semantic Scholar")