TransUnet implementation
$30-250 USD
Pagato alla consegna
implement TransUnet on NSLC radiomic dataset for the classification of nsclc cancer
U-Net has dominated image segmentation tasks, especially in the field of medical imaging. Among most of the hitherto proposed U-Nets, Convolution Neural Networks (CNN) are widely used as their underlying structures.
Rif. progetto: #34843011
Info sul progetto
32 freelance hanno fatto un'offerta media di $168 per questo lavoro
Hi, I am artificial intelligence engineer with more 8 years of experience in Computer Vision & Machine/Deep Learning. I have accomplished projects like yours. Feel free to contact me for further details. Thank you
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Hello! I am professional AI engineer. I have 7 years of expereince in this field. First, I can show you the past work. Second I have full hands on experience in ML, CV, NLP, Deep Learning, Reinforcement Learning, Tenso Altro
Hi I have already done a similar project regarding to detect brain metastasis in MRI images using UNet. Really, UNet is a great tool for semantic segmentation specially for medical samples. I am a research advisor (PhD Altro
@I am the best fit for your project as I am strong in python(u-net/u2-net), I can do it perfectly!@ I just went through your job post and it piqued my interest. Your description of the work responsibilities pertaining Altro
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Hello! I am a professional expert in ML and DL development working over 5 years in this fields. I read your questions and I am confident of this task. I think this task is for classification, so using U-nets and CNN, o Altro
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