Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country's experience.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13988
Abstract: BACKGROUND The high-dose rate (HDR) brachytherapy treatment planning workflow for cervical cancer is a labor-intensive, time-consuming, and expertise-driven process. These issues are amplified in low/middle-income countries with large deficits in experienced healthcare professionals. Automation has… read more here.
Keywords: brachytherapy; dose rate; nnu net; rate ... See more keywords
Automatic Segmentation and Detection of Ectopic Eruption of the First Permanent Molars on Panoramic Radiographs Based on nnU-Net.
Sign Up to like & getrecommendations! Published in 2022 at "International journal of paediatric dentistry"
DOI: 10.1111/ipd.12964
Abstract: OBJECTIVES The purpose of this research was to present an artificial intelligence (AI) model which can automatically segment and detect ectopic eruption of the permanent first molars (EMMs) in early mixed dentition on panoramic radiographs… read more here.
Keywords: based nnu; nnu net; model; panoramic radiographs ... See more keywords
A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9080343
Abstract: In prostate cancer, fusion biopsy, which couples magnetic resonance imaging (MRI) with transrectal ultrasound (TRUS), poses the basis for targeted biopsy by allowing the comparison of information coming from both imaging modalities at the same… read more here.
Keywords: fusion; prostate cancer; prostate; nnu net ... See more keywords
Deep Learning for Caries Detection and Classification
Sign Up to like & getrecommendations! Published in 2021 at "Diagnostics"
DOI: 10.3390/diagnostics11091672
Abstract: Objectives: Deep learning methods have achieved impressive diagnostic performance in the field of radiology. The current study aimed to use deep learning methods to detect caries lesions, classify different radiographic extensions on panoramic films, and… read more here.
Keywords: nnu net; classification; deep learning; caries lesions ... See more keywords