Cargando…

Automatic Classification of Histopathology Images across Multiple Cancers Based on Heterogeneous Transfer Learning

Background: Current artificial intelligence (AI) in histopathology typically specializes on a single task, resulting in a heavy workload of collecting and labeling a sufficient number of images for each type of cancer. Heterogeneous transfer learning (HTL) is expected to alleviate the data bottlenec...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Kai, Chen, Yushi, Bai, Bingqian, Gao, Yanhua, Xiao, Jiaying, Yu, Gang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093253/ https://www.ncbi.nlm.nih.gov/pubmed/37046497 http://dx.doi.org/10.3390/diagnostics13071277

Ejemplares similares

Transfer Learning Approach for Classification of Histopathology Whole Slide Images
por: Ahmed, Shakil, et al.
Publicado: (2021)

Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
por: Wakili, Musa Adamu, et al.
Publicado: (2022)

Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue
por: Nishio, Mizuho, et al.
Publicado: (2021)

On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning
por: Fraiwan, Mohammad, et al.
Publicado: (2022)

Automatic plankton image classification combining multiple view features via multiple kernel learning
por: Zheng, Haiyong, et al.
Publicado: (2017)

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

Artificial Hummingbird Algorithm with Transfer-Learning-Based Mitotic Nuclei Classification on Histopathologic Breast Cancer Images
por: Malibari, Areej A., et al.
Publicado: (2023)

Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification
por: Chen, Zhikui, et al.
Publicado: (2021)

Automatic classification of histopathological diagnoses for building a large scale tissue catalogue
por: Reihs, Robert, et al.
Publicado: (2016)

High-Resolution Histopathological Image Classification Model Based on Fused Heterogeneous Networks with Self-Supervised Feature Representation
por: Lai, Zhi-Fei, et al.
Publicado: (2022)

Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer
por: Nishio, Mizuho, et al.
Publicado: (2023)

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

Metric Learning in Histopathological Image Classification: Opening the Black Box
por: Amato, Domenico, et al.
Publicado: (2023)

Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
por: Srikantamurthy, Mahati Munikoti, et al.
Publicado: (2023)

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

Iterative transfer learning for automatic collective motion tuning on multiple robot platforms
por: Abpeikar, Shadi, et al.
Publicado: (2023)

Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images
por: Jang, Hyun-Jong, et al.
Publicado: (2021)

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

Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning
por: Chui, Kwok Tai, et al.
Publicado: (2022)

Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach
por: Borkowski, Karol, et al.
Publicado: (2020)

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

First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning
por: García, Gabriel, et al.
Publicado: (2019)

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis
por: Cheng, Cecilia, et al.
Publicado: (2022)

Breast cancer histopathology image classification through assembling multiple compact CNNs
por: Zhu, Chuang, et al.
Publicado: (2019)

Parallel multiple instance learning for extremely large histopathology image analysis
por: Xu, Yan, et al.
Publicado: (2017)

Automatic Segmentation and Classification for Antinuclear Antibody Images Based on Deep Learning
por: Xie, Qinghua, et al.
Publicado: (2023)

Transfer Discriminative Dictionary Pair Learning Approach for Across-Subject EEG Emotion Classification
por: Ruan, Yang, et al.
Publicado: (2022)

Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images
por: Rao, B. Nageswara, et al.
Publicado: (2022)

Efficient FPGA Implementation of Automatic Nuclei Detection in Histopathology Images
por: Zhou, Haonan, et al.
Publicado: (2019)

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)

Code-free machine learning for classification of central nervous system histopathology images
por: Jungo, Patric, et al.
Publicado: (2023)

Direct Cellularity Estimation on Breast Cancer Histopathology Images Using Transfer Learning
por: Pei, Ziang, et al.
Publicado: (2019)

Transfer learning for ECG classification
por: Weimann, Kuba, et al.
Publicado: (2021)

Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations
por: Turesson, Hjalmar K., et al.
Publicado: (2016)

Deep-learning-based automatic segmentation and classification for craniopharyngiomas
por: Yan, Xiaorong, et al.
Publicado: (2023)

Automatic Classification of Antinuclear Antibody Patterns With Machine Learning
por: Boral, Baris, et al.
Publicado: (2023)

Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification
por: Wang, Zhikang, et al.
Publicado: (2023)

Automatic Detection of Colorectal Polyps Using Transfer Learning
por: Dulf, Eva-H., et al.
Publicado: (2021)

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

Cannot write session to /tmp/vufind_sessions/sess_clubs84s1urjncojjjalg8a7ub