Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images.
Sk. Imran HossainJocelyn de Goër de HerveMd Shahriar HassanDelphine MartineauEvelina PetrosyanViolaine CorbinJean BeytoutIsabelle LebertJonas DurandIrene CarravieriAnnick Brun-JacobPascale Frey-KlettElisabeth BauxCéline CazorlaCarole EldinYves HansmannSolene Patrat-DelonThierry PrazuckAlice RaffetinPierre TattevinGwenaël Vourc'hOlivier LesensEngelbert Mephu NguifoPublished in: Comput. Methods Programs Biomed. (2022)
Keyphrases
- transfer learning
- skin lesion
- knowledge transfer
- convolutional neural networks
- input image
- ground truth
- convolutional network
- reinforcement learning
- image analysis
- learning tasks
- text classification
- segmentation method
- labeled data
- malignant melanoma
- gabor filters
- object recognition
- cross domain
- early detection
- early diagnosis
- transfer knowledge
- edge detection
- computer aided
- multiresolution
- machine learning algorithms
- data mining
- semi supervised learning
- medical images
- active learning
- image processing
- machine learning