Cargando…

Pixel Diffuser: Practical Interactive Medical Image Segmentation without Ground Truth

Medical image segmentation is essential for doctors to diagnose diseases and manage patient status. While deep learning has demonstrated potential in addressing segmentation challenges within the medical domain, obtaining a substantial amount of data with accurate ground truth for training high-perf...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ju, Mingeon, Yang, Jaewoo, Lee, Jaeyoung, Lee, Moonhyun, Ji, Junyung, Kim, Younghoon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669538/ https://www.ncbi.nlm.nih.gov/pubmed/38002404 http://dx.doi.org/10.3390/bioengineering10111280

Ejemplares similares

SEG: Segmentation Evaluation in absence of Ground truth labels
por: Sims, Zachary, et al.
Publicado: (2023)

Ground Truth
por: Garrity, George M.
Publicado: (2009)

Object Segmentation and Ground Truth in 3D Embryonic Imaging
por: Rajasekaran, Bhavna, et al.
Publicado: (2016)

Chest X-ray dataset and ground truth for lung segmentation
por: Wahyuningrum, Rima Tri, et al.
Publicado: (2023)

Correction: Object Segmentation and Ground Truth in 3D Embryonic Imaging
por: Bhavna, Rajasekaran, et al.
Publicado: (2016)

Real-time speech MRI datasets with corresponding articulator ground-truth segmentations
por: Ruthven, Matthieu, et al.
Publicado: (2023)

Tryggo: Old norse for truth: The real truth about ground truth: New insights into the challenges of generating ground truth maps for WSI CAD algorithm evaluation
por: Hipp, Jason D., et al.
Publicado: (2012)

Statistical framework for validation without ground truth of choroidal thickness changes detection
por: Ronchetti, Tiziano, et al.
Publicado: (2019)

AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks
por: Radl, Lukas, et al.
Publicado: (2022)

Recognition of Diabetic Retinopathy with Ground Truth Segmentation Using Fundus Images and Neural Network Algorithm
por: Kshirsagar, Pravin R., et al.
Publicado: (2022)

What is gold standard and what is ground truth?
por: Cardoso, Jefferson Rosa, et al.
Publicado: (2014)

Gebiss: an ImageJ plugin for the specification of ground truth and the performance evaluation of 3D segmentation algorithms
por: Kriston-Vizi, Janos, et al.
Publicado: (2011)

Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
por: Sartor, Hanna, et al.
Publicado: (2020)

Enhancing Situational Awareness by Ground Truthing with Historical Outbreaks
por: Castro, Lauren, et al.
Publicado: (2014)

The ground truth about metadata and community detection in networks
por: Peel, Leto, et al.
Publicado: (2017)

The shaky ground truth of real-time phase estimation
por: Zrenner, Christoph, et al.
Publicado: (2020)

Ground truth based comparison of saliency maps algorithms
por: Szczepankiewicz, Karolina, et al.
Publicado: (2023)

A novel ground truth dataset enables robust 3D nuclear instance segmentation in early mouse embryos
por: Nunley, Hayden, et al.
Publicado: (2023)

Fish Farms at Sea: The Ground Truth from Google Earth
por: Trujillo, Pablo, et al.
Publicado: (2012)

Perplexity: evaluating transcript abundance estimation in the absence of ground truth
por: Fan, Jason, et al.
Publicado: (2022)

Correction: Fish Farms at Sea: The Ground Truth from Google Earth
Publicado: (2015)

Ground Truth Data Generator for Eye Location on Infrared Driver Recordings
por: Valcan, Sorin, et al.
Publicado: (2021)

Scrutinizing XAI using linear ground-truth data with suppressor variables
por: Wilming, Rick, et al.
Publicado: (2022)

CellSium: versatile cell simulator for microcolony ground truth generation
por: Sachs, Christian Carsten, et al.
Publicado: (2022)

Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning
por: Zhou, Naihui, et al.
Publicado: (2018)

Does function fit structure? A ground truth for non-invasive neuroimaging
por: Stevenson, Claire, et al.
Publicado: (2014)

Ground truth labels challenge the validity of sepsis consensus definitions in critical illness
por: Lindner, Holger A., et al.
Publicado: (2022)

Development of experimental ground truth and quantification of intracranial aneurysm pulsation in a patient
por: Vanrossomme, Axel E., et al.
Publicado: (2021)

Generation of annotated multimodal ground truth datasets for abdominal medical image registration
por: Bauer, Dominik F., et al.
Publicado: (2021)

Increasing quantitation in spatial single-cell metabolomics by using fluorescence as ground truth
por: Molenaar, Martijn R., et al.
Publicado: (2022)

Evaluation of surface-based hippocampal registration using ground-truth subfield definitions
por: DeKraker, Jordan, et al.
Publicado: (2023)

Impact of Training Data, Ground Truth and Shape Variability in the Deep Learning-Based Semantic Segmentation of HeLa Cells Observed with Electron Microscopy
por: Karabağ, Cefa, et al.
Publicado: (2023)

Entropy: the truth, the whole truth and nothing but the truth
por: Ben-Naim, Arieh
Publicado: (2017)

Truthful fair division without free disposal
por: Bei, Xiaohui, et al.
Publicado: (2020)

The CLICTD monolithic silicon pixel-detector with sub-pixel segmentation
por: CLIC, Compact Linear Collider Project, et al.
Publicado: (2019)

Truths and Half Truths
por: Gul, Ferdinand
Publicado: (2011)

The truth, the whole truth, and nothing but the truth: Therapeutic privilege
por: Shalak, M, et al.
Publicado: (2022)

How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?
por: Gopalan, Aditya, et al.
Publicado: (2020)

Assessing the Retail Food Environment in Madrid: An Evaluation of Administrative Data against Ground Truthing
por: Díez, Julia, et al.
Publicado: (2019)

Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods
por: Mikulan, Ezequiel, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_3v9if6hcqkj2uto5aeca50pvot