Skin Cancer Detection Using Deep Learning

AUTHOR(S)

Akshara Anilkumar, Karthik S R, Revathi S Kumar, Siji Antony, Aby Rose Varghese

DOI: https://doi.org/10.46647/ijetms.2023.v07i04.048

ABSTRACT
Cuticle disease is one of the most dangerous sort of disease. It is one of the primary reasons of end global. The expiring amount can be reduced if skin disease be identify early. The uncontrolled growth of skin cells is diagnosed using visual inspection, which is less accurate. This survey is talk about in most research articles on cutis poison grouping work deep neural learning technique. It too supply an overview of the most common deep-learning copy jointly with ASCII file second- hand for cutis illness collect. Skin corruption observation in deep neural learning networking formula is an active sector in the tail of the growth meadow of pharmaceutical imaging and computer vision. Deep Learning, CNN results appear computerized the perception of skin cancer.
Page No: 348 - 353

References:

Skin Cancer. Available online: https://tinyurl.com/ptp97uzv

Kittler, H.; Pehamberger, H.; Wolff, K.; Binder, M. Diagnostic accuracy of dermoscopy. Lancet Oncol

Rosendahl, C.; Tschandl, P.; Cameron, A.; Kittler, H. Diagnost accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions. J. Am. Acad. Dermatol.

Jalalian, A.; Mashohor, S.; Mahmud, R.; Karasfi, B.; Saripan, M.I.B.; Ramli, A.R.B. Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

Fan, H.; Xie, F.; Li, Y.; Jiang, Z.; Liu, J. Automatic segmentation of dermoscopy images using saliency combined with Otsu threshold. Comput. Biol. Med.

Hasan, M.K.; Dahal, L.; Samarakoon, P.N.; Tushar, F.I.; Martí, R. DSNet: Automatic dermoscopic skin lesion segmentation. Comput. Biol. Med.

Korotkov, K.; Garcia, R. Computerized analysis of pigmented skin lesions: A review. Artif. Intell. Med.

Hasan, M.K.; Elahi, M.T.E.; Alam, M.A.; Jawad, M.T.; Martí, R. DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation. Inform. Med. Unlocked

Mishra, N.K.; Celebi, M.E. An overview of melanoma detection in dermoscopy images using image processing and machine learning.

Pacheco, A.G.; Krohling, R.A. Recent advances in deep learning applied to skin cancer detection.

How to Cite This Article:
Akshara Anilkumar, Karthik S R, Revathi S Kumar, Siji Antony, Aby Rose Varghese . Skin Cancer Detection Using Deep Learning . ijetms;7(4):348-353. DOI: 10.46647/ijetms.2023.v07i04.048