基于光学触觉传感器的肿块检测研究OACSTPCD

Lump detection can help patients find potential diseases early and improve their survival rate.Aim-ming at the problem of how to use a non-invasive method to detect the lump in the tissue samples,an optical tactile sensor with simple fabrication and convenient calibration is developed,and a new algorithm for lumps i-dentification based on surface reconstruction is proposed.In this method,the original images collected by the tactile sensor are reconstructed in depth,and the baseline images generated by normal tissue are subtracted from the reconstructed image,so as to obtain the abnormal tactile images generated by the lump,and the pro-cessed images are sent to the neural network for lump detection.The result shows that the method can effective-ly distinguish lumps with a diameter of 6～10 mm and an embedding depth of 1～5 mm,which verifies the practicability and feasibility of the method.Finally,based on the method and procedure,the effects of lump size,lump embedding depth and normal tissue hardness on lump detection results are discussed.The proposed non-invasive lump detection method explores the feasibility of optical tactile sensors in the field of lump detec-tion,providing new ideas for further research in related fields.