Buchumschlag

Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Temitope Emmanuel Komolafe, Yuchi Tian, Olanrewaju James Awoniya, Shuang‐Qing Chen, Xiaodong Yang
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2024
Schlagworte:	International Journal of Imaging Systems and Technology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
von: Teuwen, Jonas, et al.
Veröffentlicht: (2020)

Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system
von: Vivek Patel, et al.
Veröffentlicht: (2024)

Multi-modal AI for comprehensive breast cancer prognostication
von: Witowski, Jan, et al.
Veröffentlicht: (2024)

An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning
von: C. Sahaya Pushpa Sarmila Star, et al.
Veröffentlicht: (2024)

Feasibility study comparing synthesized mammography with digital breast tomosynthesis and digital mammography for simulated first round screening in a single BreastScreen NSW centre
von: Vikrant Dhurandhar, et al.
Veröffentlicht: (2024)

Value of automated breast ultrasound in screening: Standalone and as a supplemental to digital breast tomosynthesis
von: Erkin Aribal, et al.
Veröffentlicht: (2024)

Turning breast to bone: Benign osseous metaplasia of the breast
von: Rose Radic, et al.
Veröffentlicht: (2024)

A directional total variation minimization algorithm for isotropic resolution in digital breast tomosynthesis
von: Sidky, Emil Y., et al.
Veröffentlicht: (2024)

An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
von: Elahi, Reza, et al.
Veröffentlicht: (2024)

Lung computed tomography image enhancement using U‐Net segmentation
von: Alaa H. Sheer, et al.
Veröffentlicht: (2024)

Using convolutional neural networks for the classification of breast cancer images
von: Bonnet, Eric
Veröffentlicht: (2021)

Identifying and matching 12‐level multistained glomeruli via deep learning for diagnosis of glomerular diseases
von: Qiming He, et al.
Veröffentlicht: (2024)

Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm
Veröffentlicht: (2024)

ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer
von: Schirris, Yoni, et al.
Veröffentlicht: (2025)

Longitudinal in silico imaging study comparing digital mammography and digital breast tomosynthesis systems
von: Miguel A. Lago, et al.
Veröffentlicht: (2024)

Focal spot motion in digital breast tomosynthesis and its effect on spatial resolution
von: Colin J. Schaeffer, et al.
Veröffentlicht: (2026)

Comparing DWI image quality of deep-learning-reconstructed EPI with RESOLVE in breast lesions at 3.0T: a pilot study
von: Tsarouchi, Marialena I., et al.
Veröffentlicht: (2024)

Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months
von: Salvador Calderon‐Uribe, et al.
Veröffentlicht: (2024)

Effect sizes as a statistical feature-selector-based learning to detect breast cancer
von: Masino, Nicolas, et al.
Veröffentlicht: (2024)

A microwave super-resolution imaging approach towards breast cancer margin mapping
von: Penketh, Harry, et al.
Veröffentlicht: (2026)

Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example
von: Xiao, MingXuan, et al.
Veröffentlicht: (2024)

Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy images
von: Jothiraj Selvaraj, et al.
Veröffentlicht: (2024)

Benchmarking learned algorithms for computed tomography image reconstruction tasks
von: Kiss, Maximilian B., et al.
Veröffentlicht: (2024)

A new Time-decay Radiomics Integrated Network (TRINet) for short-term breast cancer risk prediction
von: Yeoh, Hong Hui, et al.
Veröffentlicht: (2024)

Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data
von: Mukherjee, Subrata
Veröffentlicht: (2025)

Recurrence in lobular carcinoma of the breast: A 14‐year review
von: Nathan Burns, et al.
Veröffentlicht: (2024)

Optimization and validation of a mechanical compression model for digital breast phantoms in mammography and tomosynthesis simulations
von: Gustavo Pacheco, et al.
Veröffentlicht: (2025)

Comparison of three reconstruction algorithms for low-dose phase-contrast computed tomography of the breast with synchrotron radiation
von: Donato, Sandro, et al.
Veröffentlicht: (2024)

Comparison of three reconstruction algorithms for low‐dose phase‐contrast computed tomography of the breast with synchrotron radiation
von: Sandro Donato, et al.
Veröffentlicht: (2025)

Characterizing forearm skeletal muscle composition and function in breast cancer‐related lymphedema using B‐mode ultrasonography
von: Jesse Whyte, et al.
Veröffentlicht: (2026)

A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
von: Ahmadi, Mahdie, et al.
Veröffentlicht: (2024)

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
von: Ghasemi, Amirehsan, et al.
Veröffentlicht: (2024)

Diagnostic performance of tomosynthesis plus synthetic mammography versus full‐field digital mammography with or without tomosynthesis in breast cancer screening: A systematic review and meta‐analysis
von: Wasim Hamad, et al.
Veröffentlicht: (2024)

Monostatic microwave imaging of cancerous breast phantom with a frequency to time domain conversion technique
von: Athul O. Asok, et al.
Veröffentlicht: (2024)

Contrast‐enhanced mammography improves patient access to functional breast imaging
von: Donna B Taylor, et al.
Veröffentlicht: (2024)

Frequency and clinical implications of findings on true whole‐body 18F‐FDG PET in the assessment of breast cancer
von: Chris‐Tin Cheng, et al.
Veröffentlicht: (2024)

Deep hybrid model for Mpox disease diagnosis from skin lesion images
von: Saif Ur Rehman Khan, et al.
Veröffentlicht: (2024)

Research on multi‐center assisted diagnosis of ASD based on multimodal feature fusion
von: Ru Zhang, et al.
Veröffentlicht: (2024)

Development of handheld optical coherence tomography based on commercial intra‐oral scanner shape for extended clinical utility in dentistry
von: Hayoung Kim, et al.
Veröffentlicht: (2024)

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer
von: Yang, Yongquan, et al.
Veröffentlicht: (2023)