MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion
involvement guides proper risk stratification and personalized therapy selection. In this …
involvement guides proper risk stratification and personalized therapy selection. In this …
[HTML][HTML] Beyond automatic medical image segmentation—the spectrum between fully manual and fully automatic delineation
Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully
manual segmentation to reduce time spent contouring and to increase contour quality and …
manual segmentation to reduce time spent contouring and to increase contour quality and …
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images
M Dunnhofer, M Antico, F Sasazawa, Y Takeda… - Medical Image …, 2020 - Elsevier
The tracking of the knee femoral condyle cartilage during ultrasound-guided minimally
invasive procedures is important to avoid damaging this structure during such interventions …
invasive procedures is important to avoid damaging this structure during such interventions …
Secure architectures implementing trusted coalitions for blockchained distributed learning (TCLearn)
Distributed learning across coalitions is becoming popular for multi-centric implementation
of deep learning models. However, the level of trust between the members of a coalition can …
of deep learning models. However, the level of trust between the members of a coalition can …
Machine‐assisted interpolation algorithm for semi‐automated segmentation of highly deformable organs
DC Luximon, Y Abdulkadir, PE Chow… - Medical …, 2022 - Wiley Online Library
Purpose Accurate and robust auto‐segmentation of highly deformable organs (HDOs), for
example, stomach or bowel, remains an outstanding problem due to these organs' frequent …
example, stomach or bowel, remains an outstanding problem due to these organs' frequent …
A prior knowledge-guided, deep learning-based semiautomatic segmentation for complex anatomy on magnetic resonance imaging
Purpose Despite recent substantial improvement in autosegmentation using deep learning
(DL) methods, labor-intensive and time-consuming slice-by-slice manual editing is often …
(DL) methods, labor-intensive and time-consuming slice-by-slice manual editing is often …
Interactive contouring through contextual deep learning
Purpose To investigate a deep learning approach that enables three‐dimensional (3D)
segmentation of an arbitrary structure of interest given a user provided two‐dimensional …
segmentation of an arbitrary structure of interest given a user provided two‐dimensional …
[HTML][HTML] Applications of artificial intelligence in urologic oncology
S Pak, SG Park, J Park, ST Cho, YG Lee… - … and Clinical Urology, 2024 - ncbi.nlm.nih.gov
Purpose With the recent rising interest in artificial intelligence (AI) in medicine, many studies
have explored the potential and usefulness of AI in urological diseases. This study aimed to …
have explored the potential and usefulness of AI in urological diseases. This study aimed to …
An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation
The aim of this study is to evaluate a regional deformable model based on a deep
unsupervised learning model for automatic contour propagation in breast cone-beam …
unsupervised learning model for automatic contour propagation in breast cone-beam …
Detecting material state changes in the nucleolus by label-free digital holographic microscopy
C Zorbas, A Soenmez, J Léger, C De Vleeschouwer… - EMBO …, 2024 - embopress.org
Ribosome biogenesis is initiated in the nucleolus, a multiphase biomolecular condensate
formed by liquid-liquid phase separation. The nucleolus is a powerful disease biomarker …
formed by liquid-liquid phase separation. The nucleolus is a powerful disease biomarker …