Using deep learning to recognize local advanced rectal cancer in CT images

被引：0

作者：

Lin, ChunYu ^{[1
]}

机构：

[1] Taichung Vet Gen Hosp, Taichung, Taiwan

来源：

JOURNAL OF CLINICAL ONCOLOGY | 2023年 / 41卷 / 16期

关键词：

D O I：

暂无

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

e15624

引用

页数：1

共 50 条

[31] Optimal deep learning model for classification of lung cancer on CT images [J].

Lakshmanaprabu, S. K. ;

Mohanty, Sachi Nandan ;

Shankar, K. ;

Arunkumar, N. ;

Ramirez, Gustavo .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 92 :374-382

[32] Using deep learning to recognize the sign alphabet [J].

Kolodziej, Marcin ;

Szypula, Ernest ;

Majkowski, Andrzej ;

Rak, Remigiusz .

PRZEGLAD ELEKTROTECHNICZNY, 2022, 98 (06) :32-36

[33] A Deep Learning Model to Predict the Response to Neoadjuvant Chemoradiotherapy by the Pretreatment Apparent Diffusion Coefficient Images of Locally Advanced Rectal Cancer [J].

Zhu, Hai-Tao ;

Zhang, Xiao-Yan ;

Shi, Yan-Jie ;

Li, Xiao-Ting ;

Sun, Ying-Shi .

FRONTIERS IN ONCOLOGY, 2020, 10

[34] Detection of Local Prostate Cancer Recurrence from PET/CT Scans Using Deep Learning [J].

Korb, Marko ;

Efetuerk, Hulya ;

Jedamzik, Tim ;

Hartrampf, Philipp E. ;

Kosmala, Aleksander ;

Serfling, Sebastian E. ;

Dirk, Robin ;

Michalski, Kerstin ;

Buck, Andreas K. ;

Werner, Rudolf A. ;

Schlotelburg, Wiebke ;

Ankenbrand, Markus J. .

CANCERS, 2025, 17 (09)

[35] Advanced Skin Cancer Detection Using Deep Learning [J].

Alzamel, Mai ;

Alhejaili, Seba ;

Alhumaidhi, Fatimah ;

Alismail, Joud ;

Almubarak, Lama ;

Altammami, Halah ;

Iliopoulos, Costas ;

Lim, Zara .

24TH INTERNATIONAL CONFERENCE ON ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EAAAI/EANN 2023, 2023, 1826 :267-278

[36] The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation [J].

Hester E. Haak ;

Xinpei Gao ;

Monique Maas ;

Selam Waktola ;

Sean Benson ;

Regina G. H. Beets-Tan ;

Geerard L. Beets ;

Monique van Leerdam ;

Jarno Melenhorst .

Surgical Endoscopy, 2022, 36 :3592-3600

[37] Treatment response prediction of neoadjuvant chemotherapy for rectal cancer by deep learning of colonoscopy images [J].

Kato, Shinya ;

Miyoshi, Norikatsu ;

Fujino, Shiki ;

Minami, Soichiro ;

Nagae, Ayumi ;

Hayashi, Rie ;

Sekido, Yuki ;

Hata, Tsuyoshi ;

Hamabe, Atsushi ;

Ogino, Takayuki ;

Tei, Mitsuyoshi ;

Kagawa, Yoshinori ;

Takahashi, Hidekazu ;

Uemura, Mamoru ;

Yamamoto, Hirofumi ;

Doki, Yuichiro ;

Eguchi, Hidetoshi .

ONCOLOGY LETTERS, 2023, 26 (05)

[38] Pancreatic Tumor Recognition from CT Images through Advanced Deep Learning Techniques [J].

Mitrea, Delia ;

Brehar, Raluca ;

Itu, Razvan ;

Nedevschi, Sergiu ;

Socaciu, Mihai ;

Badea, Radu .

2024 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS, AQTR, 2024, :299-304

[39] Deep-learning-based tumor segmentation of endoscopy images for rectal cancer patients [J].

Weishaupt, Luca ;

Thibodeau--Antonacci, Alana ;

Garant, Aurelie ;

Singh, Kelita ;

Miller, Corey ;

Vuong, Te ;

Enger, Shirin A. .

MEDICAL PHYSICS, 2021, 48 (08) :4698-4698

[40] Deep learning-based tumor segmentation of endoscopy images for rectal cancer patients [J].

Weishaupt, L. ;

Antonacci, A. Thibodeau ;

Garant, A. ;

Singh, K. ;

Miller, C. ;

Vuong, T. ;

Enger, S. A. .

RADIOTHERAPY AND ONCOLOGY, 2021, 161 :S773-S775

← 1 2 3 4 5 →