Cargando…

The effect of spatial resolution on deep learning classification of lung cancer histopathology

OBJECTIVE: The microscopic analysis of biopsied lung nodules represents the gold-standard for definitive diagnosis of lung cancer. Deep learning has achieved pathologist-level classification of non-small cell lung cancer histopathology images at high resolutions (0.5–2 µm/px), and recent studies hav...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wiebe, Mitchell, Haston, Christina, Lamey, Michael, Narayan, Apurva, Rajapakshe, Rasika
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The British Institute of Radiology. 2023
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636338/ https://www.ncbi.nlm.nih.gov/pubmed/37953867 http://dx.doi.org/10.1259/bjro.20230008

Ejemplares similares

Impact of a deep learning assistant on the histopathologic classification of liver cancer
por: Kiani, Amirhossein, et al.
Publicado: (2020)

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
por: Iizuka, Osamu, et al.
Publicado: (2020)

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

Automated Deep Learning-Based Classification of Wilms Tumor Histopathology
por: van der Kamp, Ananda, et al.
Publicado: (2023)

Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
por: Hameed, Zabit, et al.
Publicado: (2020)

Deep Learning on Histopathology Images for Breast Cancer Classification: A Bibliometric Analysis
por: Khairi, Siti Shaliza Mohd, et al.
Publicado: (2021)

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

Lightweight Deep Learning Classification Model for Identifying Low-Resolution CT Images of Lung Cancer
por: Marappan, Shanmugasundaram, et al.
Publicado: (2022)

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
por: Han, Zhongyi, et al.
Publicado: (2017)

Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques
por: Reshma, V. K., et al.
Publicado: (2022)

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

Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology
por: Bai, Yunhao, et al.
Publicado: (2023)

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

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
por: Rączkowska, Alicja, et al.
Publicado: (2019)

Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images
por: Johny, Anil, et al.
Publicado: (2021)

A deep learning framework for automated classification of histopathological kidney whole-slide images
por: Abdeltawab, Hisham A., et al.
Publicado: (2022)

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

Chaotic Sparrow Search Algorithm with Deep Transfer Learning Enabled Breast Cancer Classification on Histopathological Images
por: Shankar, K., et al.
Publicado: (2022)

High-quality super-resolution mapping using spatial deep learning
por: Zhang, Xining, et al.
Publicado: (2023)

A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT
por: Datta Gupta, Koyel, et al.
Publicado: (2021)

Qualitative Histopathological Classification of Primary Bone Tumors Using Deep Learning: A Pilot Study
por: Tao, Yuzhang, et al.
Publicado: (2021)

Development and Evaluation of a Novel Deep-Learning-Based Framework for the Classification of Renal Histopathology Images
por: Abu Haeyeh, Yasmine, et al.
Publicado: (2022)

A Multimodal Auxiliary Classification System for Osteosarcoma Histopathological Images Based on Deep Active Learning
por: Gou, Fangfang, et al.
Publicado: (2022)

Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images
por: Hammouda, Kamal, et al.
Publicado: (2022)

Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery
por: Zhang, Pengbin, et al.
Publicado: (2018)

Weakly-supervised learning for lung carcinoma classification using deep learning
por: Kanavati, Fahdi, et al.
Publicado: (2020)

Optimization of Deep Learning Network Parameters Using Uniform Experimental Design for Breast Cancer Histopathological Image Classification
por: Lin, Cheng-Jian, et al.
Publicado: (2020)

Squamous Cell Carcinoma of Skin Cancer Margin Classification From Digital Histopathology Images Using Deep Learning
por: Wako, Beshatu Debela, et al.
Publicado: (2022)

Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images
por: Song, JaeYen, et al.
Publicado: (2022)

Deep learning-based classification with improved time resolution for physical activities of children
por: Jang, Yongwon, et al.
Publicado: (2018)

SRAS‐net: Low‐resolution chromosome image classification based on deep learning
por: Liu, Xiangbin, et al.
Publicado: (2022)

Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning
por: Rahaman, Md Mamunur, et al.
Publicado: (2023)

A Semiautomated Chart Review for Assessing the Development of Radiation Pneumonitis Using Natural Language Processing: Diagnostic Accuracy and Feasibility Study
por: McKenzie, Jordan, et al.
Publicado: (2021)

Deep learning classification of lung cancer histology using CT images
por: Chaunzwa, Tafadzwa L., et al.
Publicado: (2021)

Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction
por: Faust, Kevin, et al.
Publicado: (2018)

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

Deep learning-based image-analysis algorithm for classification and quantification of multiple histopathological lesions in rat liver
por: Shimazaki, Taishi, et al.
Publicado: (2021)

Mitotic Nuclei Segmentation and Classification Using Chaotic Butterfly Optimization Algorithm with Deep Learning on Histopathology Images
por: AlGhamdi, Rayed
Publicado: (2023)

Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images
por: Alrowais, Fadwa, et al.
Publicado: (2023)

Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models
por: Hong, Runyu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_njtdropv46jqh6jdi5ecsiikus