Study on the Early Diagnosis of Cancer Inversion Problem Based on the Infrared Thermography

Author(s):  
H. Zhou ◽  
F. Guo ◽  
M. Zhang ◽  
J. Wei ◽  
Z. Wei

For the early diagnosis of cancer, capturing the unusual temperature distribution of organism surface by using the infrared thermography has become one of the hot spots in the research methods. However, at present this method can only qualitatively judge the early cancer lesion, while it cannot ascertain the lesion area and range accurately. In this paper, we have conducted some exploratory research in the light of this problem, and tried to apply the nonlinear inverse mathematical method in the quantitative analysis for the infrared medical diagnosis. Through this inversion algorithm, the lesion region and range will be judged quantitatively, which makes the value of infrared thermography improve in the field of cancer early diagnosis.

2015 ◽  
Vol 51 (94) ◽  
pp. 16763-16766 ◽  
Author(s):  
Panpan Gai ◽  
Rongbin Song ◽  
Cheng Zhu ◽  
Yusheng Ji ◽  
Wengjing Wang ◽  
...  

An exogenous redox-free, membraneless enzyme biofuel cell-based ultrasensitive self-powered cytosensor was constructed as a point-of-care tool for early diagnosis of cancer.


2017 ◽  
Vol 112 (3) ◽  
pp. 461a ◽  
Author(s):  
Sung Cheol Kim ◽  
Navneet Dogra ◽  
Benjamin H. Wunsch ◽  
Joshua T. Smith ◽  
Stacey M. Gifford ◽  
...  

Author(s):  
Prableen Kaur ◽  
Manik Sharma

Genetic Algorithms (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colonies (ABC) are some vital nature inspired computing (NIC) techniques. These approaches have been used in early prophecy of various diseases. This article analyzes the efficacy of various NIC techniques in diagnosing diverse critical human disorders. It is observed that GA, ACO, PSO and ABC have been successfully used in early diagnosis of different diseases. As compared to ACO, PSO and ABC algorithms, GA has been extensively used in diagnosis of ecology, cardiology and endocrinologist. In addition, from the last six years of research, it has been observed that the accuracy accomplished using GA, ACO, PSO and ABC in the early diagnosis of cancer, diabetes and cardio problems lies between 73.5%-99.7%, 70%-99.2%, 80%-98% and 76.4% to 99.98% respectively. Furthermore, ACO, PSO and ABC are found to be best suited in diagnosing lung, prostate and breast cancer respectively. Moreover, the hybrid use of NIC techniques produces better results as compared to their individual use.


The Analyst ◽  
2019 ◽  
Vol 144 (18) ◽  
pp. 5504-5510 ◽  
Author(s):  
Fei Yin ◽  
Liqi Liu ◽  
Xia Sun ◽  
Laiyong Hou ◽  
Yu Lu ◽  
...  

Simultaneous detection of different types of cancer biomarkers (nucleic acids and proteins) could facilitate early diagnosis of cancer and clinical treatment.


BMJ ◽  
1953 ◽  
Vol 2 (4827) ◽  
pp. 85-85
Author(s):  
H. O gilvie

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