Scribbleprompt: fast and flexible interactive segmentation for any biomedical image
Biomedical image segmentation is a crucial part of both scientific research and clinical care.
With enough labelled data, deep learning models can be trained to accurately automate …
With enough labelled data, deep learning models can be trained to accurately automate …
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
Medical researchers and clinicians often need to perform novel segmentation tasks on a set
of related images. Existing methods for segmenting a new dataset are either interactive …
of related images. Existing methods for segmenting a new dataset are either interactive …
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
Scribble-based weakly supervised segmentation techniques offer comparable performance
to fully supervised methods while significantly reducing annotation costs, making them an …
to fully supervised methods while significantly reducing annotation costs, making them an …
Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net
Accurate segmentation of cancer lesions in whole-body CT scans is essential for diagnosis
and treatment planning. However, this task is challenging due to the diversity of lesion …
and treatment planning. However, this task is challenging due to the diversity of lesion …