Detection of Melanoma Skin Cancer using Convolutional Neural Network algorithm
K Srinidhi1, G Jotsna Priya2, M Rishitha3, K Tejo Vishnu4, G Anuradha5
1K Srinidhi*, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
2G Jotsna Priya, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
3M Rishitha, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
4K Tejo Vishnu, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
G Anuradha, Associate Professor, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India,
Manuscript received on April 20, 2020. | Revised Manuscript received on May 01, 2020. | Manuscript published on May 10, 2020. | PP: 115-118 | Volume-9 Issue-7, May 2020. | Retrieval Number: F4636049620/2020©BEIESP | DOI: 10.35940/ijitee.F4636.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Skin Cancer, a health issue which might cause severe consequences if not detected and controlled properly. Since there is a huge evolution in the health sector because of development in computer technologies, it is possible to analyze images efficiently and make correct decisions. Deep learning algorithms can be used for analyzing dermoscopic images by learning features of images in an incremental manner. Aim of our proposed method is to categorize skin lesion image as Benign or Melanoma and also to study the performance of Convolutional Neural Network algorithm using data augmentation technique and without data augmentation technique. The proposed method uses dataset from ISIC archive 2019. Steps involved in the proposed method are Image Pre-Processing, Image Segmentation and Image Classification. Initially, Image Pre-Processing algorithm is performed on skin lesion image. Image Segmentation algorithm is used to obtain Region of Interest (ROI) from pre-processed image. Then, Convolutional Neural Network algorithm classifies image as melanoma or benign. The Proposed method can rapidly detect melanoma skin cancer which aids in starting the treatment process without delay.
Keywords: Benign, Convolutional Neural Network, Image Pre-Processing, Image Segmentation, Melanoma, Skin Cancer.
Scope of the Article: Healthcare Informatics