S2C-DeLeNet: A parameter transfer based segmentation-classification integration for detecting skin cancer lesions from dermoscopic images.
Md. Jahin AlamMir Sayeed MohammadMd Adnan Faisal HossainIshtiaque Ahmed ShowmikMunshi Sanowar RaihanShahed AhmedTalha Ibn MahmudPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- skin lesion
- malignant melanoma
- skin cancer
- pigmented skin lesions
- automated segmentation
- dermoscopy images
- computer aided
- early detection
- decision trees
- image analysis
- lung nodules
- digital image processing
- segmentation algorithm
- image segmentation
- classification accuracy
- computer aided diagnosis
- medical images
- active contours
- feature space
- feature extraction
- breast cancer
- shape prior
- x ray
- markov random field
- edge detection
- early diagnosis
- support vector