Projects in Awesome Lists tagged with polyp-segmentation
A curated list of projects in awesome lists tagged with polyp-segmentation .
https://github.com/WZH0120/SAM2-UNet
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
adapter camouflaged-object-detection marine-animal-segmentation medical-image-segmentation mirror-detection polyp-segmentation salient-object-detection segment-anything-model segmentation u-net
Last synced: 24 Jul 2025
https://github.com/nikhilroxtomar/tganet
TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]
colonoscopy medical-image-segmentation polyp-segmentation segmentation
Last synced: 14 Apr 2025
https://github.com/nikhilroxtomar/transresunet
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
colonoscopy convolutional-neural-networks deep-learning polyp-segmentation pytorch sematic-segmentation
Last synced: 24 Jun 2025
https://github.com/zh320/medical-segmentation-pytorch
PyTorch implementation of medical semantic segmentations models, e.g. UNet, UNet++, DUCKNet, ResUNet, ResUNet++, and support knowledge distillation, distributed training, Optuna etc.
distributed-training knowledge-distillation medical-image-segmentation optuna polyp-segmentation pytorch resunet unet unetplusplus
Last synced: 12 Apr 2025
https://github.com/timkong21/polyp-segmentation
Polyp segmentation tool utilizing U-Net for accurate medical image analysis, designed to enhance early detection and diagnosis of colorectal cancer. Features a user-friendly Streamlit web app for easy image processing and analysis, leveraging the Kvasir-SEG dataset for improved healthcare outcomes.
aws-s3 cancer-detection colonoscopy computer-vision data-augmentation data-science deep-learning diagnostics healthcare machine-learning medical-application medical-image-analysis medical-image-processing medical-image-segmentation opencv polyp-segmentation python streamlit tensorflow u-net
Last synced: 14 Apr 2025
https://github.com/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei
Last synced: 06 May 2026
