Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection

Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer

Juan Silva, Aymeric Histace, Olivier Romain, Xavier Dray, and Bertrand Granado · 2014

Earlier work this paper cites.

Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians

Jorge Bernal, F Javier Sánchez, Gloria Fernández-Esparrach, Debora Gil, Cristina Rodríguez, and Fernando Vilariño · 2015

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

Earlier work this paper cites.

Automated polyp detection in colonoscopy videos using shape and context information

Nima Tajbakhsh, Suryakanth R Gurudu, and Jianming Liang · 2015

Earlier work this paper cites.

A benchmark for endoluminal scene segmentation of colonoscopy images

David Vázquez, Jorge Bernal, F Javier Sánchez, Gloria Fernández-Esparrach, Antonio M López, Adriana Romero, Michal Drozdzal, and Aaron Courville · 2017

Earlier work this paper cites.

Selective feature aggregation network with area-boundary constraints for polyp segmentation

Yuqi Fang, Cheng Chen, Yixuan Yuan, and Kai-yu Tong · 2019

Earlier work this paper cites.

Resunet++: An advanced architecture for medical image segmentation

Debesh Jha, Pia H Smedsrud, Michael A Riegler, Dag Johansen, Thomas De Lange, Pål Halvorsen, and Håvard D Johansen · 2019

Earlier work this paper cites.

Unet++: Redesigning skip connections to exploit multiscale features in image segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2019

Earlier work this paper cites.

Pranet: Parallel reverse attention network for polyp segmentation

Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao · 2020

Earlier work this paper cites.

Kvasir-seg: A segmented polyp dataset

Debesh Jha, Pia H Smedsrud, Michael A Riegler, Pål Halvorsen, Thomas De Lange, Dag Johansen, and Håvard D Johansen · 2020

Earlier work this paper cites.

Adaptive context selection for polyp segmentation

Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, and Yizhou Yu · 2020

Earlier work this paper cites.

Polyppvt: Polyp segmentation with pyramid vision transformers

Original

Bo Dong, Wei Wang, Dong-Ping Fan, Jie Li, Hao Fu, and Ling Shao · 2021

Earlier work this paper cites.

Hardnet-mseg: A simple encoder-decoder polyp segmentation neural network that achieves over 0.9 mean dice and 86 fps

Original

Chien-Hsiang Huang, Hung-Yu Wu, and Youn-Long Lin · 2021

Earlier work this paper cites.

Real-time polyp detection, localization and segmentation in colonoscopy using deep learning

Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D Johansen, Dag Johansen, Jens Rittscher, Michael A Riegler, and Pål Halvorsen · 2021

Earlier work this paper cites.

Uacanet: Uncertainty augmented context attention for polyp segmentation

Taehun Kim, Hyemin Lee, and Daijin Kim · 2021

Earlier work this paper cites.

Enhanced u-net: A feature enhancement network for polyp segmentation

Krushi Patel, Andrés M Bur, and Guanghui Wang · 2021

Cited alongside, same era.

Context-aware cross-level fusion network for camouflaged object detection

Original

Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, and Nian Liu · 2021

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Shallow attention network for polyp segmentation

Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S Kevin Zhou, and Shuguang Cui · 2021

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Automatic polyp segmentation via multi-scale subtraction network

Xiaoqi Zhao, Lihe Zhang, and Huchuan Lu · 2021

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Unext: Mlp-based rapid medical image segmentation network

Jeya Maria Jose Valanarasu and Vishal M Patel · 2022

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Stepwise feature fusion: Local guides global

Polyp-sam: Transfer sam for polyp segmentation

Original

Yuheng Li, Mingzhe Hu, and Xiaofeng Yang · 2023

Later among the works it cites.

Samus: Adapting segment anything model for clinically-friendly and generalizable ultrasound image segmentation

Original

Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, and Li Yu · 2023

Later among the works it cites.

Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model

Original

Saikat Roy, Tassilo Wald, Gregor Koehler, Maximilian R Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, and Klaus H Maier-Hein · 2023

Later among the works it cites.

Can sam segment anything? when sam meets camouflaged object detection

Original

Lv Tang, Haoke Xiao, and Bo Li · 2023

Later among the works it cites.