Cargando…

Transfer learning for medical image classification: a literature review

BACKGROUND: Transfer learning (TL) with convolutional neural networks aims to improve performances on a new task by leveraging the knowledge of similar tasks learned in advance. It has made a major contribution to medical image analysis as it overcomes the data scarcity problem as well as it saves t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Hee E., Cosa-Linan, Alejandro, Santhanam, Nandhini, Jannesari, Mahboubeh, Maros, Mate E., Ganslandt, Thomas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007400/ https://www.ncbi.nlm.nih.gov/pubmed/35418051 http://dx.doi.org/10.1186/s12880-022-00793-7

Ejemplares similares

Rapid Convolutional Neural Networks for Gram-Stained Image Classification at Inference Time on Mobile Devices: Empirical Study from Transfer Learning to Optimization
por: Kim, Hee E., et al.
Publicado: (2022)

Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study
por: Kim, Hee E., et al.
Publicado: (2023)

Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings
por: Maros, Máté E., et al.
Publicado: (2021)

Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review
por: Scheer, Jan, et al.
Publicado: (2022)

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
por: Mabrouk, Alhassan, et al.
Publicado: (2022)

Developing intelligent medical image modality classification system using deep transfer learning and LDA
por: Hassan, Mehdi, et al.
Publicado: (2020)

Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis
por: Kim, Hee, et al.
Publicado: (2020)

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

Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning
por: Kandel, Ibrahem, et al.
Publicado: (2020)

Transfer Learning Aurora Image Classification and Magnetic Disturbance Evaluation
por: Sado, P., et al.
Publicado: (2022)

Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images
por: An, Guangzhou, et al.
Publicado: (2021)

Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning
por: Minagi, Akinori, et al.
Publicado: (2022)

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

Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images
por: Huang, Guan-Hua, et al.
Publicado: (2022)

In-domain versus out-of-domain transfer learning in plankton image classification
por: Maracani, Andrea, et al.
Publicado: (2023)

Deep Transfer Learning Technique for Multimodal Disease Classification in Plant Images
por: Balaji, V., et al.
Publicado: (2023)

Distant Domain Transfer Learning for Medical Imaging
Publicado: (2021)

A systematic literature review of machine learning application in COVID-19 medical image classification
por: Daniel, et al.
Publicado: (2023)

Automated Sagittal Craniosynostosis Classification from CT Images Using Transfer Learning
por: You, Lei, et al.
Publicado: (2020)

A Novel Multistage Transfer Learning for Ultrasound Breast Cancer Image Classification
por: Ayana, Gelan, et al.
Publicado: (2022)

Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
por: Avola, Danilo, et al.
Publicado: (2022)

A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification
por: Tang, Fenghe, et al.
Publicado: (2022)

Classification of Corn Diseases from Leaf Images Using Deep Transfer Learning
por: Fraiwan, Mohammad, et al.
Publicado: (2022)

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

Transfer Learning for Adenocarcinoma Classifications in the Transurethral Resection of Prostate Whole-Slide Images
por: Tsuneki, Masayuki, et al.
Publicado: (2022)

A Classification Method for the Cellular Images Based on Active Learning and Cross-Modal Transfer Learning
por: Vununu, Caleb, et al.
Publicado: (2021)

Epidemiology and Classification of Mastitis
por: Cobirka, Maros, et al.
Publicado: (2020)

Transfer learning for image classification using VGG19: Caltech-101 image data set
por: Bansal, Monika, et al.
Publicado: (2021)

Classification of Cardiomyopathies from MR Cine Images Using Convolutional Neural Network with Transfer Learning
por: Germain, Philippe, et al.
Publicado: (2021)

Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model
por: Samee, Nagwan Abdel, et al.
Publicado: (2022)

Deep transfer learning-based hologram classification for molecular diagnostics
por: Kim, Sung-Jin, et al.
Publicado: (2018)

New polyp image classification technique using transfer learning of network-in-network structure in endoscopic images
por: Kim, Young Jae, et al.
Publicado: (2021)

Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification
por: Gopalapillai, Radhakrishnan, et al.
Publicado: (2021)

A transfer learning approach for improved classification of carbon nanomaterials from TEM images
por: Luo, Qixiang, et al.
Publicado: (2020)

Automatic Classification of Histopathology Images across Multiple Cancers Based on Heterogeneous Transfer Learning
por: Sun, Kai, et al.
Publicado: (2023)

A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images
por: Khan, Rizwan, et al.
Publicado: (2023)

Big Transfer Learning for Fine Art Classification
por: Zhao, Wentao, et al.
Publicado: (2022)

Deep Learning Technology Applied to Medical Image Tissue Classification
por: Tsai, Min-Jen, et al.
Publicado: (2022)

Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification
por: Ribeiro, Eduardo, et al.
Publicado: (2016)

Deep Learning-Based Transfer Learning for Classification of Skin Cancer
por: Jain, Satin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_fk02uj6t4q1svp06ggd5i1kf24