classification and diagnosis of liver cancer using extreme learning machine

Hi, I have knowledge in image processing and pattern recognition. I have done similar kind of project before. Please let me know. I am able to do this job. Thanks.

A proposal has not yet been provided

Hi I am an expert Engineer and my area of interest is pattern recognition and image processing. I have done research work related to personal recognition using hand , palm , voice and fingerprints. Moreover I have also completed a research work related to Rheumatoid Athritis recognition using thermal images of hands. I am sure that my experience of pattern recognition and image processing will sure make me able to complete your project with good results. Contact me please so that we may have detailed discussion for more clarification. Regards

I am 2014 graduate mechanical engineer from IIT. I have a vast experience in matlab and octave . Following arguments will make it clear why I am interested in this project: 1. I have done computer vision in robotics, of object detection . 2. I am aware of imaging techniques such as x-ray tomography, i have done projects to convert images into feature vector. 3. I have recently done few projects in machine learning, for handwritten digit recognisation. during several of these projects I have developed quite good coding and debugging skills

Hi, The project describes the application of modern AI learning to medical segmentation. The segmentation framework heavily depends on the combination of tools we decide to leverage upon. Deep learning nets are a good fit for such segmentation problems but they may have to combined with Fuzzy or Evolutionary algorithms to achieve better accuracy. We can also investigate on the application of snake energy minimisation to come up with optimal contours for the complex images and maybe train ANNs on the contours. I had good amount of experience with ANNs and evolutionary algorithms , was able to apply these techniques for problems including traffic network designs (implemented on-site research for the Lyon and Paris traffic networks), inventory management and recognition of diabetic eye. My research on DR detection in the eye is still in progress and have been using Genetic algorithm based snakes and ANN to classify the DR stage. I am happy to support this with examples taken from my implementations. With the confidence obtained from research experience , I want to share and build robust ideas for the segmentation problem you stated. If interested, I am willing to document research article that can be spanned from our results, modified techniques, literature reviews and our discussions. Please let me know if you want to discuss further on this. Thanks, Vamsi

Hi, A committee approach to modelling can be followed wherein the best ML is selected out of a range of models. What sort of data set have you got? Regards, Anubhav Tewari M: + 61 433 217 720

I am a computational biologist/bioinformatician working in the field for about 10 years. I implemented a number of algorithms mostly in the area of optimization and data mining. I have worked on RNAi data analysis, genomic assembly, mutual information and direct information derived from protein sequences and constructed graphs.