no code implementations • 10 May 2024 • Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
Foundation Vision-Language Models (VLMs) trained using large-scale open-domain images and text pairs have recently been adapted to develop Vision-Language Segmentation Models (VLSMs) that allow providing text prompts during inference to guide image segmentation.
1 code implementation • 22 Sep 2023 • Rabin Adhikari, Manish Dhakal, Safal Thapaliya, Kanchan Poudel, Prasiddha Bhandari, Bishesh Khanal
However, the lack of readily available data in echocardiography hampers the training of VLSMs.
1 code implementation • 15 Aug 2023 • Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
Medical image segmentation with deep learning is an important and widely studied topic because segmentation enables quantifying target structure size and shape that can help in disease diagnosis, prognosis, surgery planning, and understanding.