Fighting Melanoma With Deep Learning!
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Different factors participate in not diagnosing melanoma early enough
Melanoma is the most deadliest form of skin cancer
The clinical presentation of melanoma is complex and diverse
Sometimes it is hard to distinguish moles from cancer
Subtleties and Nuances
Such melanoma subtypes are difficult to diagnose in a timely manner
From the fact that the likelihood of curing melanoma increases when diagnosed early and treated timely, DeepDerma emerged as a project that aims at developing Deep Learning based solutions that aid in the early detection of melanoma, and that would act as a powerful tool for use in clinical practice.
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Paper No. 1
In: Proc. SPIE, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, vol. 8318 (2012)In: Proc. SPIE, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, vol. 8318 (2012)
Melanoma Detection Using Deep Learning: A Systematic Review
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images
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Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
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Are Neural Networks Effective in Detecting Melanoma Using Genomic Data?
A Deep Learning Approach to Deblurring Skin Cancer Images