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Contrastive Learning of Global & Local Features | NeurIPS | Krishna Chaitanya
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Hello Everyone! This week at the 21st Episode of Computer Vision Talks we discuss yet another paper related to Medical Imaging by the title :
Contrastive learning of global and local features for medical image segmentation.
Speaker :
Krishna Chaitanya
1) PhD Student at Computer Vision Lab ETH Zurich.
2) Masters in Information Technology and Electrical Engineering - ETH Zurich
3) Bachelors in Electronics and Communication from BITS Pilani-Hyderabad Campus.
Chaitanya is focused to achieve high performance for tedious medical imaging tasks like
image segmentation using deep neural networks with limited annotations while leveraging
unlabeled data.
To attend more talks and interact with the Researchers follow us on :
Contrastive learning of global and local features for medical image segmentation.
Speaker :
Krishna Chaitanya
1) PhD Student at Computer Vision Lab ETH Zurich.
2) Masters in Information Technology and Electrical Engineering - ETH Zurich
3) Bachelors in Electronics and Communication from BITS Pilani-Hyderabad Campus.
Chaitanya is focused to achieve high performance for tedious medical imaging tasks like
image segmentation using deep neural networks with limited annotations while leveraging
unlabeled data.
To attend more talks and interact with the Researchers follow us on :
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