An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer
Prostate cancer (PCa) is the second most diagnosed cancer in men. Patients with PCa often develop metastases, with more than 80% of this metastases occurring in bone. The most common imaging technique used for screening, diagnosis and follow-up of disease evolution is bone scintigraphy, due to its h...
Main Authors: | Laura Providência, Inês Domingues, João Santos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/7/8/148 |
Similar Items
-
Semisupervised classification for fault diagnosis in nuclear power plants
by: Jianping Ma, et al.
Published: (2015-03-01) -
A New Framework for Hyperspectral Image Classification Using Multiple Semisupervised Collaborative Classification Algorithm
by: Ying Cui, et al.
Published: (2019-01-01) -
THE ROLE OF BONE SCINTIGRAPHY IN DETECTION OF BONE METASTASES OF PROSTATE CANCER IN PATIENTS WITH BIOCHEMICAL RECURRENCE AFTER RADICAL PROSTATECTOMY
by: P. D. Demeshko, et al.
Published: (2014-08-01) -
THE ROLE OF BONE SCINTIGRAPHY IN DETECTION OF BONE METASTASES OF PROSTATE CANCER IN PATIENTS WITH BIOCHEMICAL RECURRENCE AFTER RADICAL PROSTATECTOMY
by: P. D. Demeshko, et al.
Published: (2014-08-01) -
When to perform bone scintigraphy in patients with newly diagnosed prostate cancer? a retrospective study
by: Yiwei Lin, et al.
Published: (2017-06-01)