SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

12 July 2023

Papers citing "SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology"

7 / 7 papers shown

Title
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 44 0 0 14 May 2025
ASPS: Augmented Segment Anything Model for Polyp Segmentation Huiqian Li Dingwen Zhang Jieru Yao Longfei Han Zhongyu Li J. Han 46 10 0 30 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
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images Aayushi Tyagi Vaibhav Mishra AP Prathosh Mausam VLM 40 1 0 29 Nov 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 32 26 0 05 May 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 66 13 0 29 Mar 2023
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017