Lobes Segmentation Using Deep Learning

Greetings! Sir I am computer vision expert with more than 4 years of experience. I have also take part in Kaggle competition as well. I have a good knowlege to do segmentation of image using U-Net based CNN architecture. Moreover I have done MS in CS so I can do any kind of necessary research to achieve better results. Looking forward to working with you. Regards

Hi. I am a Machine Vision Expert. I am very familiar to Deep learning apis such as Tensorflow, TensorflowLite, TfLearn, keras, pytorch, and fastai, mxnet. I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building Image Processing, Speech Recognition and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. I usual using many technique and library, frameworks such as tensorflow, tesseract, machine learning such as CNN, DNN, FCRN, SVN etc. and I am generally not attached to programming language in working.(C++, C#, Linux, Python, Java, Android, RasPi ....) Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I am an individual contractor, not an agency. I think i am aware of your project in detail. Thanks for your job posting.

Hey there, I am a certified Python (PCAPP) / Deep Learning programmer with five years of industrial and research experience. I have already worked on brain tumor segmentation, leukemia detection and cancer detection. I have used U-Net, U-Net++, Double U-Net and various other models in my research. I have been using dice coef loss, focal loss and trversky loss for segmentation purposes. I shall also use k-fold cross validation with k = 5 to give you the accurate model performance. For pre-processing, I have been using min-max normalization and standard normalization. #Skills: > Image processing, Classification, Clustering, Segmentation, Localization & Detection, OCR. > Time Series Analysis, Multi-Step Time series Analysis, RNNs/LSTMs. > Training and Mentoring, Data Visualization, Learning Curves > ML Algorithms, ML Model Development, Deep Learning and Data/Text Mining, NLP #Core Libraries: > tensorflow-keras, opencv, scikit-learn, PIL, matplotlib, tesseract, numpy, pandas, etc., P.S. I have journal and conference publications on the aforementioned topics. I also have an MS degree in this field. Currently, I am working in a research lab as a python/c/c++ developer for anomaly detection using ML in high speed networks. Best regards,

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Hi, hope you're doing well, I'm a Software Engineer with a Master's in AI/Image Processing, currently doing my PhD on the field. Having said that I'm skilled in the use of state-of-art AI techniques for segmentation, usually for 2d images but easily extendable for 3d images as in your case. I'm confident to be able to help you in your project based on my knowledge in this subject. If you're interested send me a message so that we can discuss further details about what you can expect from me, deadlines, budgets, and that sort of thing. Hope I can hear from you again! Best regards, João Silva