Cargando…

Deep Edge Detection Methods for the Automatic Calculation of the Breast Contour

Breast cancer conservative treatment (BCCT) is a form of treatment commonly used for patients with early breast cancer. This procedure consists of removing the cancer and a small margin of surrounding tissue, while leaving the healthy tissue intact. In recent years, this procedure has become increas...

Descripción completa

Detalles Bibliográficos
Autores principales:	Freitas, Nuno, Silva, Daniel, Mavioso, Carlos, Cardoso, Maria J., Cardoso, Jaime S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136173/ https://www.ncbi.nlm.nih.gov/pubmed/37106588 http://dx.doi.org/10.3390/bioengineering10040401

Ejemplares similares

Automatic detection of perforators for microsurgical reconstruction
por: Mavioso, Carlos, et al.
Publicado: (2020)

Automatic contouring QA method using a deep learning–based autocontouring system
por: Rhee, Dong Joo, et al.
Publicado: (2022)

Quality assurance for automatically generated contours with additional deep learning
por: Isaksson, Lars Johannes, et al.
Publicado: (2022)

Automatic detection of contouring errors using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2019)

Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia
por: Mascarenhas Saraiva, Miguel, et al.
Publicado: (2021)

Welding Spark Detection on Construction Sites Using Contour Detection with Automatic Parameter Tuning and Deep-Learning-Based Filters
por: Jin, Xi, et al.
Publicado: (2023)

Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models
por: van den Oever, L. B., et al.
Publicado: (2022)

Deep Learning Architecture to Improve Edge Accuracy of Auto-Contouring for Head and Neck Radiotherapy
por: Gifford, Ryan, et al.
Publicado: (2023)

Local edge-enhanced active contour for accurate skin lesion border detection
por: Bayraktar, Mustafa, et al.
Publicado: (2019)

Edge detection using fast pixel based matching and contours mapping algorithms
por: Arulananth, T. S., et al.
Publicado: (2023)

Deep-Learning and Device-Assisted Enteroscopy: Automatic Panendoscopic Detection of Ulcers and Erosions
por: Martins, Miguel, et al.
Publicado: (2023)

Evaluation Exploration of Atlas-Based and Deep Learning-Based Automatic Contouring for Nasopharyngeal Carcinoma
por: Wang, Jinyuan, et al.
Publicado: (2022)

Method: automatic segmentation of mitochondria utilizing patch classification, contour pair classification, and automatically seeded level sets
por: Giuly, Richard J, et al.
Publicado: (2012)

Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy
por: Ding, Jie, et al.
Publicado: (2022)

Extraction of pulmonary Trachea by dynamic tubular edge contour algorithm
por: Fan, Qing-Wen, et al.
Publicado: (2020)

Study of a QueryPNet Model for Accurate Detection and Segmentation of Goose Body Edge Contours
por: Li, Jiao, et al.
Publicado: (2022)

Quantifying the Consistency and Characterizing the Confidence of Coronal Holes Detected by Active Contours Without Edges (ACWE)
por: Grajeda, Jeremy A., et al.
Publicado: (2023)

Breast cancer surgery with augmented reality
por: Gouveia, Pedro F., et al.
Publicado: (2021)

Automatic contouring system for cervical cancer using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2020)

Hybrid two-stage active contour method with region and edge information for intensity inhomogeneous image segmentation
por: Soomro, Shafiullah, et al.
Publicado: (2018)

RADI-12. Deep learning for automatic detection and contouring of metastatic brain tumors in stereotactic radiosurgery: a retrospective analysis with an FDA-cleared software algorithm
por: Wang, Jen-Yeu, et al.
Publicado: (2021)

Dosimetric comparison of automatically propagated prostate contours with manually drawn contours in MRI-guided radiotherapy: A step towards a contouring free workflow?
por: Sritharan, Kobika, et al.
Publicado: (2022)

Automatic contour segmentation of cervical cancer using artificial intelligence
por: Kano, Yosuke, et al.
Publicado: (2021)

Clinical Validation of Siemens’ Syngo.via Automatic Contouring System
por: Pera, Óscar, et al.
Publicado: (2023)

HRNET: AI-on-Edge for Mask Detection and Social Distancing Calculation
por: Sengupta, Kinshuk, et al.
Publicado: (2022)

Methods of contour integration
por: Rasulov, Medzhid L, et al.
Publicado: (1967)

Automatic Detection Method of Dairy Cow Feeding Behaviour Based on YOLO Improved Model and Edge Computing
por: Yu, Zhenwei, et al.
Publicado: (2022)

Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms
por: Huang, Kai, et al.
Publicado: (2021)

Automatic segmentation of ovarian follicles using deep neural network combined with edge information
por: Chen, Zhong, et al.
Publicado: (2022)

Deep Learning Approach at the Edge to Detect Iron Ore Type
por: Klippel, Emerson, et al.
Publicado: (2021)

Self-parameterized active contours based on regional edge structure for medical image segmentation
por: Mylona, Eleftheria A, et al.
Publicado: (2014)

Automatic Initialization Active Contour Model for the Segmentation of the Chest Wall on Chest CT
por: Choi, Seokyoon, et al.
Publicado: (2010)

Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points
por: Pal, U., et al.
Publicado: (1998)

Automatic evaluation of contours in radiotherapy planning utilising conformity indices and machine learning
por: Terparia, Samsara, et al.
Publicado: (2020)

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
por: Coelho, Claudionor N., et al.
Publicado: (2020)

Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment
por: Cardoso, Jaime S., et al.
Publicado: (2019)

Deep-Learning-Based Real-Time and Automatic Target-to-Background Ratio Calculation in Fluorescence Endoscopy for Cancer Detection and Localization
por: Jiang, Yang, et al.
Publicado: (2022)

3D digital breast cancer models with multimodal fusion algorithms
por: Bessa, Sílvia, et al.
Publicado: (2020)

Automatic deep learning method for detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging
por: Gao, Weibo, et al.
Publicado: (2023)

An Automatic Breast Tumor Detection and Classification including Automatic Tumor Volume Estimation Using Deep Learning Technique
por: Labcharoenwongs, Prinda, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_59fgmufldvh0m9po1gtc382qfi