More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation

20 August 2019

Danail Stoyanov

Matthew J. Clarkson

Papers citing "More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation"

7 / 7 papers shown

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

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613

20 Apr 2023

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation

Matthew J. Clarkson

257

10 Mar 2023

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

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Matthew J. Clarkson

244

12 Sep 2022

A comprehensive survey on recent deep learning-based methods applied to surgical data

Mansoor Ali

Rafael Martinez Garcia Peña

Gilberto Ochoa-Ruiz

Sharib Ali

443

03 Sep 2022

Robust deep learning-based semantic organ segmentation in hyperspectral images

Silvia Seidlitz

Berkin Özdemir

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Beat P. Müller-Stich

200

09 Nov 2021

Gesture Recognition in Robotic Surgery: a ReviewIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021

Beatrice van Amsterdam

Matthew J. Clarkson

Danail Stoyanov

293

121

29 Jan 2021

Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

Pheng-Ann Heng

325

06 Jul 2020