All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with
Prompt-based Finetuning

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning

1 July 2023

Ruining Deng

Lucas W. Remedios

Yuankai Huo

Papers citing "All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning"

7 / 7 papers shown

Title
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models Can Cui Ruining Deng Junlin Guo Quan Liu Tianyuan Yao Haichun Yang Yuankai Huo VLM MedIm 34 1 0 13 Jul 2024
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation H. Kerdegari Kyle Higgins Dennis Veselkov I. Laponogov I. Poļaka ... Junior Andrea Pescino M. Leja M. Dinis-Ribeiro T. F. Kanonnikoff Kirill Veselkov 35 3 0 26 Jun 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model Han Gu Haoyu Dong Jichen Yang Maciej Mazurowski MedIm VLM 80 14 0 15 Apr 2024
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 40 26 0 05 May 2023
LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li Yunxiang Li Qingde Li Puyang Wang Dazhou Guo Le Lu D. Jin You Zhang Qingqi Hong VLM MedIm 67 134 0 29 Jun 2022
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation Xing Li Haichun Yang Jiaxin He Aadarsh Jha Agnes B. Fogo L. Wheless Shilin Zhao Yuankai Huo 27 3 0 17 Feb 2021
Instance-aware Self-supervised Learning for Nuclei Segmentation Xinpeng Xie Jiawei Chen Yuexiang Li Linlin Shen Kai Ma Yefeng Zheng SSL 108 59 0 22 Jul 2020