Cargando…

Deep learning predicts chromosomal instability from histopathology images

Chromosomal instability (CIN) is a hallmark of human cancer yet not readily testable for patients with cancer in routine clinical setting. In this study, we sought to explore whether CIN status can be predicted using ubiquitously available hematoxylin and eosin histology through a deep learning-base...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xu, Zhuoran, Verma, Akanksha, Naveed, Uska, Bakhoum, Samuel F., Khosravi, Pegah, Elemento, Olivier
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099498/ https://www.ncbi.nlm.nih.gov/pubmed/33997679 http://dx.doi.org/10.1016/j.isci.2021.102394

Ejemplares similares

Chromosomal Instability, Aneuploidy, and Cancer
por: Bakhoum, Samuel F., et al.
Publicado: (2014)

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images
por: Khosravi, Pegah, et al.
Publicado: (2017)

A Markov chain for numerical chromosomal instability in clonally expanding populations
por: Elizalde, Sergi, et al.
Publicado: (2018)

A CINful way to overcome addiction: how chromosomal instability enables cancer to overcome its oncogene addiction
por: Bronder, Daniel, et al.
Publicado: (2020)

Histopathology-Based Deep-Learning Predicts Atherosclerotic Lesions in Intravascular Imaging
por: Holmberg, Olle, et al.
Publicado: (2021)

A correlation graph attention network for classifying chromosomal instabilities from histopathology whole-slide images
por: Liu, Liangliang, et al.
Publicado: (2023)

Loss of polycomb repressive complex 1 activity and chromosomal instability drive uveal melanoma progression
por: Bakhoum, Mathieu F., et al.
Publicado: (2021)

Deep Learning of Histopathology Images at the Single Cell Level
por: Lee, Kyubum, et al.
Publicado: (2021)

Chromosomal instability drives metastasis through a cytosolic DNA response
por: Bakhoum, Samuel F., et al.
Publicado: (2018)

Deep learning‐based classification and mutation prediction from histopathological images of hepatocellular carcinoma
por: Liao, Haotian, et al.
Publicado: (2020)

Deep learning-based survival prediction for multiple cancer types using histopathology images
por: Wulczyn, Ellery, et al.
Publicado: (2020)

Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning
por: Liu, Sidong, et al.
Publicado: (2020)

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images
por: Yamashita, Rikiya, et al.
Publicado: (2021)

Prediction of BRCA Gene Mutation in Breast Cancer Based on Deep Learning and Histopathology Images
por: Wang, Xiaoxiao, et al.
Publicado: (2021)

A Deep Learning System to Predict the Histopathological Results From Urine Cytopathological Images
por: Liu, Yixiao, et al.
Publicado: (2022)

Prediction of Tumor Mutation Load in Colorectal Cancer Histopathological Images Based on Deep Learning
por: Liu, Yongguang, et al.
Publicado: (2022)

Prediction of Ovarian Cancer Response to Therapy Based on Deep Learning Analysis of Histopathology Images
por: Liu, Yuexin, et al.
Publicado: (2023)

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
por: Khosravi, Pegah, et al.
Publicado: (2019)

Evaluating the Microsatellite Instability of Colorectal Cancer Based on Multimodal Deep Learning Integrating Histopathological and Molecular Data
por: Qiu, Wenjing, et al.
Publicado: (2022)

Deep Learning Based Analysis of Histopathological Images of Breast Cancer
por: Xie, Juanying, et al.
Publicado: (2019)

Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images
por: Steinbuss, Georg, et al.
Publicado: (2021)

Breast Cancer Histopathological Images Segmentation Using Deep Learning
por: Drioua, Wafaa Rajaa, et al.
Publicado: (2023)

Deep Learning Approaches in Histopathology
por: Ahmed, Alhassan Ali, et al.
Publicado: (2022)

Predicting Tumor Mutational Burden From Lung Adenocarcinoma Histopathological Images Using Deep Learning
por: Niu, Yi, et al.
Publicado: (2022)

Survival prediction of stomach cancer using expression data and deep learning models with histopathological images
por: Wei, Ting, et al.
Publicado: (2022)

Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning
por: Luo, Chenhua, et al.
Publicado: (2023)

Automatic classification of informative laryngoscopic images using deep learning
por: Yao, Peter, et al.
Publicado: (2022)

Deep Learning of Histopathological Features for the Prediction of Tumour Molecular Genetics
por: Murchan, Pierre, et al.
Publicado: (2021)

A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
por: Lu, Yuheng, et al.
Publicado: (2013)

Application of Deep Learning in Histopathology Images of Breast Cancer: A Review
por: Zhao, Yue, et al.
Publicado: (2022)

Deep learning-based framework for slide-based histopathological image analysis
por: Kosaraju, Sai, et al.
Publicado: (2022)

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning
por: Eltoukhy, Mohamed Meselhy, et al.
Publicado: (2022)

Differentiation of urothelial carcinoma in histopathology images using deep learning and visualization
por: Mundhada, Aniruddha, et al.
Publicado: (2022)

Non-annotated renal histopathological image analysis with deep ensemble learning
por: Koo, Jia Chun, et al.
Publicado: (2023)

Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning
por: Tabibu, Sairam, et al.
Publicado: (2019)

Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning
por: Chen, Mingyu, et al.
Publicado: (2020)

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning
por: Jang, Hyun-Jong, et al.
Publicado: (2020)

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
por: Wang, Xiaodong, et al.
Publicado: (2021)

Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide images
por: Tomita, Naofumi, et al.
Publicado: (2022)

BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images
por: Su, Ziyu, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_n8rfkcfbqldd73pri1usnv6bo1