Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data-Reference-Cited by-同舟云学术

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data

Published:2024-02-02 Issue: Volume: Page:
ISSN:2731-538X
Container-title:Machine Intelligence Research
language:en
Short-container-title:Mach. Intell. Res.

Author:

Chou Yu-Cheng^ORCID,Li Bowen^ORCID,Fan Deng-Ping^ORCID,Yuille Alan^ORCID,Zhou Zongwei^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Modeling and Simulation,Signal Processing,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11633-023-1380-5.pdf

Reference55 articles.

1. Y. D. Xia, Q. H. Yu, L. D. Chu, S. Kawamoto, S. Park, F. Z. Liu, J. N. Chen, Z. T. Zhu, B. W. Li, Z. W. Zhou, Y. Y. Lu, Y. Wang, W. Shen, L. X. Xie, Y. Y. Zhou, C. Wolfgang, A. Javed, D. F. Fouladi, S. Shayesteh, J. Graves, A. Blanco, E. S. Zinreich, B. Kinny-Köster, K. Kinzler, R. H. Hruban, B. Vogelstein, A. L. Yuille, E. K. Fishman. The FELIX project: Deep networks to detect pancreatic neoplasms. medRxiv, 2022. DOI: https://doi.org/10.1101/2022.09.24.22280071.

2. S. J. Winawer, A. G. Zauber, M. N. Ho, M. J. O’Brien, L. S. Gottlieb, S. S. Sternberg, J. D. Waye, M. Schapiro, J. H. Bond, J. F. Panish, F. Ackroyd, M. Shike, R. C. Kurtz, L. Hornsby-Lewis, H. Gerdes, E. T. Stewart. The National Polyp Study Workgroup. Prevention of colorectal cancer by colonoscopic polypectomy. New England Journal of Medicine, vol.329, no. 27, pp. 1977–1981, 1993. DOI: https://doi.org/10.1056/NEJM199312303292701.

3. D. K. Rex, C. R. Boland, J. A. Dominitz, F. M. Giardiello, D. A. Johnson, T. Kaltenbach, T. R. Levin, D. Lieberman, D. J. Robertson. Colorectal cancer screening: Recommendations for physicians and patients from the U.S. multi-society task force on colorectal cancer. Gastroenterology, vol.153, no.1, pp. 307–323, 2017. DOI: https://doi.org/10.1053/j.gastro.2017.05.013.

4. D. Vázquez, J. Bernai, F. J. Sánchez, G. Fernández-Espar-rach, A. M. Lopez, A. Romero, M. Drozdzal, A. Courville. A benchmark for endoluminal scene segmentation of colonoscopy images. Journal of Healthcare Engineering, vol.2017, pp.4037190, 2017. DOI: https://doi.org/10.1155/2017/4037190.

5. M. Misawa, S. E. Kudo, Y. Mori, K. Hotta, K. Ohtsuka, T. Matsuda, S. Saito, T. Kudo, T. Baba, F. Ishida, H. Itoh, M. Oda, K. Mori. Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video). Gastrointestinal Endoscopy, vol.93, no. 4, pp. 960–967.e3, 2021. DOI: https://doi.org/10.1016/j.gie.2020.07.060.