Cargando…

A bioinspired neural architecture search based convolutional neural network for breast cancer detection using histopathology images

The design of neural architecture to address the challenge of detecting abnormalities in histopathology images can leverage the gains made in the field of neural architecture search (NAS). The NAS model consists of a search space, search strategy and evaluation strategy. The approach supports the au...

Descripción completa

Detalles Bibliográficos
Autores principales:	Oyelade, Olaide N., Ezugwu, Absalom E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497552/ https://www.ncbi.nlm.nih.gov/pubmed/34620891 http://dx.doi.org/10.1038/s41598-021-98978-7

Ejemplares similares

A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram
por: Oyelade, Olaide N., et al.
Publicado: (2022)

Automated COVID-19 detection with convolutional neural networks
por: Dumakude, Aphelele, et al.
Publicado: (2023)

Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models
por: Oyelade, Olaide N., et al.
Publicado: (2022)

A case-based reasoning framework for early detection and diagnosis of novel coronavirus
por: Oyelade, Olaide N., et al.
Publicado: (2020)

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm
por: Mohamed, Tehnan I. A., et al.
Publicado: (2023)

Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets
por: Oyelade, Olaide N., et al.
Publicado: (2023)

Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies
por: Oyelade, Olaide N., et al.
Publicado: (2021)

A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
por: Mohamed, Tehnan I. A., et al.
Publicado: (2023)

A generative adversarial network for synthetization of regions of interest based on digital mammograms
por: Oyelade, Olaide N., et al.
Publicado: (2022)

A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets
por: Akinola, Olatunji A., et al.
Publicado: (2022)

Advanced dwarf mongoose optimization for solving CEC 2011 and CEC 2017 benchmark problems
por: Agushaka, Jeffrey O., et al.
Publicado: (2022)

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review
por: Ezugwu, Absalom E., et al.
Publicado: (2023)

DCNAS-Net: deformation convolution and neural architecture search detection network for bone marrow oedema
por: Song, Chengyu, et al.
Publicado: (2023)

Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
por: Agushaka, Jeffrey O., et al.
Publicado: (2022)

Multi-channel convolutional neural network architectures for thyroid cancer detection
por: Zhang, Xinyu, et al.
Publicado: (2022)

Multiclass classification of breast cancer histopathology images using multilevel features of deep convolutional neural network
por: Hameed, Zabit, et al.
Publicado: (2022)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

Convolutional Neural Network Architecture for Recovering Watermark Synchronization
por: Kim, Wook-Hyung, et al.
Publicado: (2020)

An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images
por: Jung, Hwejin, et al.
Publicado: (2019)

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
por: Bándi, Péter, et al.
Publicado: (2019)

Enabling Intelligent IoTs for Histopathology Image Analysis Using Convolutional Neural Networks
por: Alali, Mohammed H., et al.
Publicado: (2022)

Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
por: Albashish, Dheeb
Publicado: (2022)

Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module
por: Jiang, Yun, et al.
Publicado: (2019)

Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction
por: Ruan, Diwang, et al.
Publicado: (2023)

Explainable convolutional neural networks for assessing head and neck cancer histopathology
por: Dörrich, Marion, et al.
Publicado: (2023)

Comparative Study of First Order Optimizers for Image Classification Using Convolutional Neural Networks on Histopathology Images
por: Kandel, Ibrahem, et al.
Publicado: (2020)

Auto-GNN: Neural architecture search of graph neural networks
por: Zhou, Kaixiong, et al.
Publicado: (2022)

Convolutional neural network architectures for predicting DNA–protein binding
por: Zeng, Haoyang, et al.
Publicado: (2016)

A Novel Heteromorphous Convolutional Neural Network for Automated Assessment of Tumors in Colon and Lung Histopathology Images
por: Iqbal, Saeed, et al.
Publicado: (2023)

FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification
por: Amin, Muhammad Sadiq, et al.
Publicado: (2023)

The effect of image resolution on convolutional neural networks in breast ultrasound
por: Tang, Shuzhen, et al.
Publicado: (2023)

Boosting Breast Cancer Detection Using Convolutional Neural Network
por: Alanazi, Saad Awadh, et al.
Publicado: (2021)

Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data
por: Miles, Cole, et al.
Publicado: (2021)

Comparison of Convolutional Neural Network Architectures for Robustness Against Common Artefacts in Dermatoscopic Images
por: Katsch, Florian, et al.
Publicado: (2022)

Aerial Images and Convolutional Neural Network for Cotton Bloom Detection
por: Xu, Rui, et al.
Publicado: (2018)

Convolutional neural networks for the detection of malignant melanoma in dermoscopy images
por: Kwiatkowska, Dominika, et al.
Publicado: (2021)

Dense Convolutional Neural Network for Detection of Cancer from CT Images
por: Sreenivasu, S. V. N., et al.
Publicado: (2022)

Detection of Dental Diseases through X-Ray Images Using Neural Search Architecture Network
por: AL-Ghamdi, Abdullah S. AL-Malaise, et al.
Publicado: (2022)

Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks
por: Yu, Kun-Hsing, et al.
Publicado: (2020)

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology
por: Sehring, Jannik, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ireeubeed05be8sr76m59hetac