InSiNet: a deep convolutional approach to skin cancer detection and segmentation

2022 ◽  
Author(s):  
Hatice Catal Reis ◽  
Veysel Turk ◽  
Kourosh Khoshelham ◽  
Serhat Kaya
Keyword(s):  
Skin Cancer ◽  
Cancer Detection ◽  
Skin Cancer Detection

Automated Skin Cancer Detection Web-Based Application and Review of Some Image Classification Algorithm

2020 ◽  
Author(s):  
Siddhesh Bhojane ◽  
Krishna Shrestha ◽  
Sanghmitra Bharadwaj ◽  
Ritul Yadav ◽  
Fenil Ribinwala ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Image Classification ◽  
Cancer Detection ◽  
Classification Algorithm ◽  
Web Based ◽  
Skin Cancer Detection

scholarly journals Epoch interrogation for skin cancer detection using convolutional neural network models

2021 ◽  
Vol 1074 (1) ◽  
pp. 012025
Author(s):  
A Poornima ◽  
M Shyamala Devi ◽  
M Sumithra ◽  
Mullaguri Venkata Bharath ◽  
Swathi ◽  
...  
Keyword(s):  
Neural Network ◽  
Skin Cancer ◽  
Convolutional Neural Network ◽  
Cancer Detection ◽  
Network Models ◽  
Neural Network Models ◽  
Skin Cancer Detection

Status and opportunities for future use of terahertz radiation for clinical applications

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Carlos Gerardo Trevino-Palacios
Keyword(s):  
Skin Cancer ◽  
Dental Caries ◽  
Cancer Detection ◽  
Terahertz Radiation ◽  
Clinical Applications ◽  
Caries Detection ◽  
Medical Applications ◽  
Fundamental Limitations ◽  
Pharmaceutical Screening ◽  
Skin Cancer Detection

Abstract:An overview of terahertz (THz) development is presented in view of possible medical applications, including details of the current technologies which could be effectively used. Although no clinical THz technologies are currently in use, its principal applicability has been already demonstrated in skin cancer detection and treatment, dental caries detection and pharmaceutical screening. Fundamental limitations of THz studies are highlighted which have to be overcome before clinical applications can be realized.

Sign in / Sign up

Export Citation Format

Share Document