Cargando…

Ultrasound Image Features under Deep Learning in Breast Conservation Surgery for Breast Cancer

This study was to analyze the effect of the combined application of deep learning technology and ultrasound imaging on the effect of breast-conserving surgery for breast cancer. A deep label distribution learning (LDL) model was designed, and the semiautomatic segmentation algorithm based on the reg...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Hongxu, Liu, Haiwang, Ma, Lihui, Liu, Jianping, Hu, Dawei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463209/ https://www.ncbi.nlm.nih.gov/pubmed/34567484 http://dx.doi.org/10.1155/2021/6318936

Ejemplares similares

MiR-135a-5p suppresses breast cancer cell proliferation, migration, and invasion by regulating BAG3
por: Zhang, Hongxu, et al.
Publicado: (2022)

Tomographic Ultrasound Imaging in the Diagnosis of Breast Tumors under the Guidance of Deep Learning Algorithms
por: Xiao, Xuehua, et al.
Publicado: (2022)

Deep Learning Predicts Underlying Features on Pathology Images with Therapeutic Relevance for Breast and Gastric Cancer
por: Valieris, Renan, et al.
Publicado: (2020)

Dual-Intended Deep Learning Model for Breast Cancer Diagnosis in Ultrasound Imaging
por: Vigil, Nicolle, et al.
Publicado: (2022)

Deep learning and ultrasound feature fusion model predicts the malignancy of complex cystic and solid breast nodules with color Doppler images
por: Liu, Han, et al.
Publicado: (2023)

Ultrasound Guided Intraoperative Wire Localization Under General Anesthesia in Breast-Conserving Surgery
por: Vartanian, Artin, et al.
Publicado: (2023)

Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features
por: Daoud, Mohammad I., et al.
Publicado: (2020)

Deep-Learning-Driven Full-Waveform Inversion for Ultrasound Breast Imaging
por: Robins, Thomas, et al.
Publicado: (2021)

Fully automatic tumor segmentation of breast ultrasound images with deep learning
por: Zhang, Shuai, et al.
Publicado: (2022)

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
por: Jabeen, Kiran, et al.
Publicado: (2022)

Benign and Malignant Breast Tumor Classification in Ultrasound and Mammography Images via Fusion of Deep Learning and Handcraft Features
por: Cruz-Ramos, Clara, et al.
Publicado: (2023)

Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique
por: Vimala, Baiju Babu, et al.
Publicado: (2023)

Ultrasound-assisted carbon nanoparticle labeling of neoadjuvant chemotherapy for breast-conserving surgery in breast cancer
por: Lin, Nan, et al.
Publicado: (2022)

Deep learning in breast imaging
por: Bhowmik, Arka, et al.
Publicado: (2022)

Ultrasound Images Guided under Deep Learning in the Anesthesia Effect of the Regional Nerve Block on Scapular Fracture Surgery
por: Liu, Yubo, et al.
Publicado: (2021)

Artificial Intelligence-Based Breast Cancer Diagnosis Using Ultrasound Images and Grid-Based Deep Feature Generator
por: Liu, Haixia, et al.
Publicado: (2022)

Conformable ultrasound breast patch for deep tissue scanning and imaging
por: Du, Wenya, et al.
Publicado: (2023)

Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique
por: Khoshdel, Vahab, et al.
Publicado: (2019)

BUSnet: A Deep Learning Model of Breast Tumor Lesion Detection for Ultrasound Images
por: Li, Yujie, et al.
Publicado: (2022)

Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency Maps
por: Byra, Michał, et al.
Publicado: (2022)

Ultrasound Image Texture Feature Learning-Based Breast Cancer Benign and Malignant Classification
por: Gong, Huiling, et al.
Publicado: (2021)

Comparison of Oncoplastic Breast-Conserving Surgery and Breast-Conserving Surgery Alone: A Meta-Analysis
por: Chen, Jun-Ying, et al.
Publicado: (2018)

An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis
por: Li, Dasheng, et al.
Publicado: (2021)

Intraoperative ultrasound reduces the need for re-excision in breast-conserving surgery
por: Karanlik, Hasan, et al.
Publicado: (2015)

Utility of Ultrasound Imaging Features in Diagnosis of Breast Cancer
por: Alshoabi, Sultan A, et al.
Publicado: (2023)

Imaging of the treated breast post breast conservation surgery/oncoplasty: Pictorial review
por: Ramani, Subhash K, et al.
Publicado: (2017)

Radiotherapy refusal in breast cancer with breast-conserving surgery
por: Liu, Jiameng, et al.
Publicado: (2023)

Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
por: Kim, Jaeil, et al.
Publicado: (2021)

Evaluating breast ultrasound S-detect image analysis for small focal breast lesions
por: Xing, Boyuan, et al.
Publicado: (2022)

Distinction between phyllodes tumor and fibroadenoma in breast ultrasound using deep learning image analysis
por: Stoffel, Elina, et al.
Publicado: (2018)

Evaluating the Accuracy of Breast Cancer and Molecular Subtype Diagnosis by Ultrasound Image Deep Learning Model
por: Zhang, Xianyu, et al.
Publicado: (2021)

Predicting HER2 Status in Breast Cancer on Ultrasound Images Using Deep Learning Method
por: Xu, Zilong, et al.
Publicado: (2022)

Application of deep learning to identify ductal carcinoma in situ and microinvasion of the breast using ultrasound imaging
por: Zhu, Meng, et al.
Publicado: (2022)

Rapid Segmentation and Diagnosis of Breast Tumor Ultrasound Images at the Sonographer Level Using Deep Learning
por: Yang, Lei, et al.
Publicado: (2023)

Are there features on imaging or core biopsy that can predict tumour-positive margins after breast-conserving surgery?
por: Hill, N, et al.
Publicado: (2010)

A Comparative Study of Multiple Deep Learning Models Based on Multi-Input Resolution for Breast Ultrasound Images
por: Wu, Huaiyu, et al.
Publicado: (2022)

Deep Learning Based Analysis of Histopathological Images of Breast Cancer
por: Xie, Juanying, et al.
Publicado: (2019)

The Impact of Advanced Image-Guided Breast Surgery and Oncoplastic Techniques on Margin Positivity in Breast Conserving Surgery
por: Ozmen, Tolga, et al.
Publicado: (2020)

Identification of Luminal A breast cancer by using deep learning analysis based on multi-modal images
por: Liu, Menghan, et al.
Publicado: (2023)

Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery
por: Chung, Seung Yeun, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_luhrticsbjpmq2shgeg4612spd