169 related articles for article (PubMed ID: 33676097)
1. Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Roß T; Reinke A; Full PM; Wagner M; Kenngott H; Apitz M; Hempe H; Mindroc-Filimon D; Scholz P; Tran TN; Bruno P; Arbeláez P; Bian GB; Bodenstedt S; Bolmgren JL; Bravo-Sánchez L; Chen HB; González C; Guo D; Halvorsen P; Heng PA; Hosgor E; Hou ZG; Isensee F; Jha D; Jiang T; Jin Y; Kirtac K; Kletz S; Leger S; Li Z; Maier-Hein KH; Ni ZL; Riegler MA; Schoeffmann K; Shi R; Speidel S; Stenzel M; Twick I; Wang G; Wang J; Wang L; Wang L; Zhang Y; Zhou YJ; Zhu L; Wiesenfarth M; Kopp-Schneider A; Müller-Stich BP; Maier-Hein L
Med Image Anal; 2021 May; 70():101920. PubMed ID: 33676097
[TBL] [Abstract][Full Text] [Related]
2. Beyond rankings: Learning (more) from algorithm validation.
Roß T; Bruno P; Reinke A; Wiesenfarth M; Koeppel L; Full PM; Pekdemir B; Godau P; Trofimova D; Isensee F; Adler TJ; Tran TN; Moccia S; Calimeri F; Müller-Stich BP; Kopp-Schneider A; Maier-Hein L
Med Image Anal; 2023 May; 86():102765. PubMed ID: 36965252
[TBL] [Abstract][Full Text] [Related]
3. Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation.
Kong X; Jin Y; Dou Q; Wang Z; Wang Z; Lu B; Dong E; Liu YH; Sun D
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1607-1614. PubMed ID: 34173182
[TBL] [Abstract][Full Text] [Related]
4. Heidelberg colorectal data set for surgical data science in the sensor operating room.
Maier-Hein L; Wagner M; Ross T; Reinke A; Bodenstedt S; Full PM; Hempe H; Mindroc-Filimon D; Scholz P; Tran TN; Bruno P; Kisilenko A; Müller B; Davitashvili T; Capek M; Tizabi MD; Eisenmann M; Adler TJ; Gröhl J; Schellenberg M; Seidlitz S; Lai TYE; Pekdemir B; Roethlingshoefer V; Both F; Bittel S; Mengler M; Mündermann L; Apitz M; Kopp-Schneider A; Speidel S; Nickel F; Probst P; Kenngott HG; Müller-Stich BP
Sci Data; 2021 Apr; 8(1):101. PubMed ID: 33846356
[TBL] [Abstract][Full Text] [Related]
5. Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures.
Angeles Ceron JC; Chang L; Ruiz GO; Ali S
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1824-1827. PubMed ID: 34891641
[TBL] [Abstract][Full Text] [Related]
6. Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art.
Rueckert T; Rueckert D; Palm C
Comput Biol Med; 2024 Feb; 169():107929. PubMed ID: 38184862
[TBL] [Abstract][Full Text] [Related]
7. Inpainting surgical occlusion from laparoscopic video sequences for robot-assisted interventions.
Hasan SMK; Simon RA; Linte CA
J Med Imaging (Bellingham); 2023 Jul; 10(4):045002. PubMed ID: 37649957
[TBL] [Abstract][Full Text] [Related]
8. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
9. Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion.
Cerón JCÁ; Ruiz GO; Chang L; Ali S
Med Image Anal; 2022 Oct; 81():102569. PubMed ID: 35985195
[TBL] [Abstract][Full Text] [Related]
10. Mask then classify: multi-instance segmentation for surgical instruments.
Kurmann T; Márquez-Neila P; Allan M; Wolf S; Sznitman R
Int J Comput Assist Radiol Surg; 2021 Jul; 16(7):1227-1236. PubMed ID: 34143374
[TBL] [Abstract][Full Text] [Related]
11. Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video.
Du X; Allan M; Bodenstedt S; Maier-Hein L; Speidel S; Dore A; Stoyanov D
Med Image Anal; 2019 Oct; 57():120-135. PubMed ID: 31299494
[TBL] [Abstract][Full Text] [Related]
12. Simulation-to-real domain adaptation with teacher-student learning for endoscopic instrument segmentation.
Sahu M; Mukhopadhyay A; Zachow S
Int J Comput Assist Radiol Surg; 2021 May; 16(5):849-859. PubMed ID: 33982232
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of a Model for Laparoscopic Colorectal Surgical Instrument Recognition Using Convolutional Neural Network-Based Instance Segmentation and Videos of Laparoscopic Procedures.
Kitaguchi D; Lee Y; Hayashi K; Nakajima K; Kojima S; Hasegawa H; Takeshita N; Mori K; Ito M
JAMA Netw Open; 2022 Aug; 5(8):e2226265. PubMed ID: 35984660
[TBL] [Abstract][Full Text] [Related]
14. U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images.
Kamrul Hasan SM; Linte CA
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():7205-7211. PubMed ID: 31947497
[TBL] [Abstract][Full Text] [Related]
15. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.
Lu P; Xia J; Li Z; Xiong J; Yang J; Zhou S; Wang L; Chen M; Wang C
Biomed Eng Online; 2016 Nov; 15(1):120. PubMed ID: 27825346
[TBL] [Abstract][Full Text] [Related]
16. Surgical tool segmentation and localization using spatio-temporal deep network.
Kanakatte A; Ramaswamy A; Gubbi J; Ghose A; Purushothaman B
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1658-1661. PubMed ID: 33018314
[TBL] [Abstract][Full Text] [Related]
17. Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation.
Chung M; Lee M; Hong J; Park S; Lee J; Lee J; Yang IH; Lee J; Shin YG
Comput Biol Med; 2020 May; 120():103720. PubMed ID: 32250852
[TBL] [Abstract][Full Text] [Related]
18. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Ross T; Zimmerer D; Vemuri A; Isensee F; Wiesenfarth M; Bodenstedt S; Both F; Kessler P; Wagner M; Müller B; Kenngott H; Speidel S; Kopp-Schneider A; Maier-Hein K; Maier-Hein L
Int J Comput Assist Radiol Surg; 2018 Jun; 13(6):925-933. PubMed ID: 29704196
[TBL] [Abstract][Full Text] [Related]
19. A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Shi T; Jiang H; Zheng B
Comput Methods Programs Biomed; 2020 Dec; 197():105678. PubMed ID: 32791449
[TBL] [Abstract][Full Text] [Related]
20. SSIS-Seg: Simulation-Supervised Image Synthesis for Surgical Instrument Segmentation.
Colleoni E; Psychogyios D; Van Amsterdam B; Vasconcelos F; Stoyanov D
IEEE Trans Med Imaging; 2022 Nov; 41(11):3074-3086. PubMed ID: 35622799
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
