A Deep Learning Based Model to Screen Colorectal Tissue for the Presence of Microsatellite Instability

被引：0

作者：

Saraf, Sahil ^{[1
,2
]}

Teng, Wai Po Kevin ^{[1
]}

Taghipour, Kaveh ^{[1
]}

Jialdasani, Rajasa ^{[1
]}

Chatterjee, Priti ^{[3
]}

Chowdhury, Zachariah ^{[4
,5
]}

Santosh, K. V. ^{[6
]}

机构：

[1] Qrit Pte Ltd, Singapore, Singapore

[2] Singapore Gen Hosp, Singapore, Singapore

[3] Lady Hardinge Med Coll & Hosp, New Delhi, India

[4] Mahamana Pandit Madan Mohan Malaviya Canc Ctr, Varanasi, Uttar Pradesh, India

[5] Tata Mem Hosp, Homi Bhabha Canc Hosp, Varanasi, Uttar Pradesh, India

[6] RV Metropolis Lab, Bangalore, Karnataka, India

来源：

LABORATORY INVESTIGATION | 2024年 / 104卷 / 03期

关键词：

D O I：

暂无

中图分类号：

R-3 [医学研究方法]; R3 [基础医学];

学科分类号：

1001 ;

摘要：

1292

引用

页码：S1619 / S1620

页数：2

共 50 条

[1] Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
Yamashita, Rikiya
Long, Jin
Longacre, Teri
Peng, Lan
Berry, Gerald
Martin, Brock
Higgins, John
Rubin, Daniel L.
Shen, Jeanne
LANCET ONCOLOGY, 2021, 22 (01): : 132 - 141
[2] Feasibility of deep learning-based fully automated classification of microsatellite instability in tissue slides of colorectal cancer
Lee, Sung Hak
Song, In Hye
Jang, Hyun-Jong
INTERNATIONAL JOURNAL OF CANCER, 2021, 149 (03) : 728 - 740
[3] Usefulness of Deep Learning in Analyzing of Microsatellite Instability in Colorectal Tumors
Kim, Jae Hyun
KOREAN JOURNAL OF GASTROENTEROLOGY, 2021, 77 (01): : 54 - 55
[4] Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
Echle, Amelie
Grabsch, Heike Irmgard
Quirke, Philip
van den Brandt, Piet A.
West, Nicholas P.
Hutchins, Gordon G. A.
Heij, Lara R.
Tan, Xiuxiang
Richman, Susan D.
Krause, Jeremias
Alwers, Elizabeth
Jenniskens, Josien
Offermans, Kelly
Gray, Richard
Brenner, Hermann
Chang-Claude, Jenny
Trautwein, Christian
Pearson, Alexander T.
Boor, Peter
Luedde, Tom
Gaisa, Nadine Therese
Hoffmeister, Michael
Kather, Jakob Nikolas
GASTROENTEROLOGY, 2020, 159 (04) : 1406 - +
[5] Evaluating the Microsatellite Instability of Colorectal Cancer Based on Multimodal Deep Learning Integrating Histopathological and Molecular Data
Qiu, Wenjing
Yang, Jiasheng
Wang, Bing
Yang, Min
Tian, Geng
Wang, Peizhen
Yang, Jialiang
FRONTIERS IN ONCOLOGY, 2022, 12
[6] A deep learning model for the prediction of microsatellite instability and pathogenic POLE mutations in colorectal cancer using histopathologic images
Xu, Ting
Yu, Jinze
Tan, Luxin
Wang, Zhenghang
Li, Jian
Dong, Siyao
Zhou, Haoyi
Shen, Lin
Li, Zhongwu
Li, Jianxin
Wang, Xicheng
JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
[7] A robust microsatellite instability detection model for unpaired colorectal cancer tissue samples
Zhang Zili
Wan Hua
Xu Bing
He Hongyang
Shan Guangyu
Zhang Jingbo
Wu Qixi
Li Tong
中华医学杂志英文版, 2023, 136 (09)
[8] A robust microsatellite instability detection model for unpaired colorectal cancer tissue samples
Zhang, Zili
Wan, Hua
Xu, Bing
He, Hongyang
Shan, Guangyu
Zhang, Jingbo
Wu, Qixi
Li, Tong
CHINESE MEDICAL JOURNAL, 2023, 136 (09) : 1082 - 1088
[9] Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology
Gustav, Marco
Reitsam, Nic Gabriel
Carrero, Zunamys I.
Loeffler, Chiara M. L.
van Treeck, Marko
Yuan, Tanwei
West, Nicholas P.
Quirke, Philip
Brinker, Titus J.
Brenner, Hermann
Favre, Loetitia
Maerkl, Bruno
Stenzinger, Albrecht
Brobeil, Alexander
Hoffmeister, Michael
Calderaro, Julien
Pujals, Anais
Kather, Jakob Nikolas
NPJ PRECISION ONCOLOGY, 2024, 8 (01)
[10] Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics
Kim, Soyoung
Lee, Jae-Hoon
Park, Eun Jung
Lee, Hye Sun
Baik, Seung Hyuk
Jeon, Tae Joo
Lee, Kang Young
Ryu, Young Hoon
Kang, Jeonghyun
YONSEI MEDICAL JOURNAL, 2023, 64 (05) : 320 - 326

← 1 2 3 4 5 →