Literature DB >> 32107997

Computer-aided Diagnosis of Skin Cancer: A Review.

Navid Razmjooy1, Mohsen Ashourian2, Maryam Karimifard3, Vania V Estrela4, Hermes J Loschi5, Douglas do Nascimento6, Reinaldo P França5, Mikhail Vishnevski6.   

Abstract

Cancer is currently one of the main health issues in the world. Among different varieties of cancers, skin cancer is the most common cancer in the world and accounts for 75% of the world's cancer. Indeed, skin cancer involves abnormal changes in the outer layer of the skin. Although most people with skin cancer recover, it is one of the major concerns of people due to its high prevalence. Most types of skin cancers grow only locally and invade adjacent tissues, but some of them, especially melanoma (cancer of the pigment cells), which is the rarest type of skin cancer, may spread through the circulatory system or lymphatic system and reach the farthest points of the body. Many papers have been reviewed about the application of image processing in cancer detection. In this paper, the automatic skin cancer detection and also different steps of such a process have been discussed based on the implantation capabilities. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Computer-aided diagnosis; image processing; lesions; melanoma; segmentation; skin cancer

Mesh:

Year:  2020        PMID: 32107997     DOI: 10.2174/1573405616666200129095242

Source DB:  PubMed          Journal:  Curr Med Imaging


  5 in total

1.  Optimal Diagnosis of COVID-19 Based on Convolutional Neural Network and Red Fox Optimization Algorithm.

Authors:  Ehsan Khorami; Fatemeh Mahdi Babaei; Aidin Azadeh
Journal:  Comput Intell Neurosci       Date:  2021-08-19

2.  Deep Learning-Based Classification for Melanoma Detection Using XceptionNet.

Authors:  Xinrong Lu; Y A Firoozeh Abolhasani Zadeh
Journal:  J Healthc Eng       Date:  2022-03-22       Impact factor: 2.682

3.  Usefulness of a medical interview support application for residents: A pilot study.

Authors:  Ayaka Matsuoka; Toru Miike; Hirotaka Yamazaki; Masahiro Higuchi; Moe Komaki; Kota Shinada; Kento Nakayama; Ryota Sakurai; Miho Asahi; Kunimasa Yoshitake; Shogo Narumi; Mayuko Koba; Takashi Sugioka; Yuichiro Sakamoto
Journal:  PLoS One       Date:  2022-09-06       Impact factor: 3.752

4.  Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm.

Authors:  Jia Huaping; Zhao Junlong; A M Norouzzadeh Gil Molk
Journal:  Comput Intell Neurosci       Date:  2021-07-17

5.  Lung Cancer Diagnosis Based on an ANN Optimized by Improved TEO Algorithm.

Authors:  Rong Shan; Tahereh Rezaei
Journal:  Comput Intell Neurosci       Date:  2021-07-16
  5 in total

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