Transformers in medical image segmentation: A review

H Xiao, L Li, Q Liu, X Zhu, Q Zhang - Biomedical Signal Processing and …, 2023 - Elsevier
Abstract Background and Objectives: Transformer is a model relying entirely on self-
attention which has a wide range of applications in the field of natural language processing …

Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges

MRS Sunoqrot, A Saha, M Hosseinzadeh… - European radiology …, 2022 - Springer
Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a
clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing …

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study

S Vesal, I Gayo, I Bhattacharya, S Natarajan… - Medical image …, 2022 - Elsevier
Prostate biopsy and image-guided treatment procedures are often performed under the
guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion …

Integration of deep learning and active shape models for more accurate prostate segmentation in 3d mr images

M Salvi, B De Santi, B Pop, M Bosco, V Giannini… - Journal of …, 2022 - mdpi.com
Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate
cancer. However, manual three-dimensional (3D) segmentation of the prostate is a …

Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI

GL Baumgärtner, CA Hamm… - European Journal of …, 2023 - Elsevier
Purpose The ever-increasing volume of medical imaging data and interest in Big Data
research brings challenges to data organization, categorization, and retrieval. Although the …

Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies

CA Hamm, GL Baumgärtner, AR Padhani… - European …, 2024 - Springer
Objectives To develop and test zone-specific prostate-specific antigen density (sPSAD)
combined with PI-RADS to guide prostate biopsy decision strategies (BDS). Methods This …

Modeling and operator control of a robotic tool for bidirectional manipulation in targeted prostate biopsy

B Padasdao, Z Batsaikhan, S Lafreniere… - … on Medical Robotics …, 2022 - ieeexplore.ieee.org
This work introduces design, manipulation, and operator control of a bidirectional robotic
tool for minimally invasive targeted prostate biopsy. The robotic tool is purposed to be used …

Teleoperated and automated control of a robotic tool for targeted prostate biopsy

B Padasdao, S Lafreniere, M Rabiei… - Journal of medical …, 2023 - World Scientific
This work presents a robotic tool with bidirectional manipulation and control capabilities for
targeted prostate biopsy interventions. Targeted prostate biopsy is an effective image …

Preclinical validation of a semi-autonomous robot for transperineal prostate biopsy

B Maris, MC Fiazza, M De Piccoli… - … on Medical Robotics …, 2022 - ieeexplore.ieee.org
Prostate biopsy is a manual procedure carried out mostly under ultrasound (US) guidance to
confirm the presence of cancer. The standard biopsy is random and includes at least 12 …

Comprehensive assessment of MRI-based artificial intelligence frameworks performance in the detection, segmentation, and classification of prostate lesions using …

LS Ramacciotti, JS Hershenhouse… - Urologic …, 2024 - urologic.theclinics.com
Prostate cancer (PCa) detection via MRI exhibits both intrareader and interreader 1, 2
variability. The adoption of Artificial Intelligence (AI)–powered automated or semiautomated …