Detection support of lesions in patients with prostate cancer using [Formula: see text]-PSMA 1007 PET/CT.
Naoki TsuchiyaKoichiro KimuraUkihide TateishiTadashi WatabeKoji HatanoMotohide UemuraNorio NonomuraAkinobu ShimizuPublished in: International journal of computer assisted radiology and surgery (2024)
This study demonstrated the effectiveness of the use of non-image information, including metadata of the patient and location information of the input slice image, in the detection of prostate cancer from [Formula: see text]-PSMA 1007 PET/CT images. Improvement in the sensitivity of inactive and small lesions remains a future challenge.
Keyphrases
- pet ct
- prostate cancer
- deep learning
- radical prostatectomy
- loop mediated isothermal amplification
- positron emission tomography
- label free
- real time pcr
- smoking cessation
- systematic review
- health information
- human milk
- case report
- convolutional neural network
- healthcare
- current status
- magnetic resonance imaging
- social media
- preterm birth
- image quality
- quantum dots