The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics
M Kaneko, V Magoulianitis, LS Ramacciotti… - Urologic …, 2024 - urologic.theclinics.com
The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging - Urologic Clinics
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[HTML][HTML] Radiomic Pipelines for Prostate Cancer in External Beam Radiation Therapy: A Review of Methods and Future Directions
B Mendes, I Domingues, J Santos - Journal of Clinical Medicine, 2024 - mdpi.com
Background: Prostate Cancer (PCa) is asymptomatic at an early stage and often painless,
requiring only active surveillance. External Beam Radiotherapy (EBRT) is currently a …
requiring only active surveillance. External Beam Radiotherapy (EBRT) is currently a …
Predicting prostate cancer in men with PSA levels of 4–10 ng/mL: MRI-based radiomics can help junior radiologists improve the diagnostic performance
JG Zhong, L Shi, J Liu, F Cao, YQ Ma, Y Zhang - Scientific Reports, 2023 - nature.com
To develop MRI-based radiomics model for predicting prostate cancer (PCa) in men with
prostate-specific antigen (PSA) levels of 4–10 ng/mL, to compare the performance of …
prostate-specific antigen (PSA) levels of 4–10 ng/mL, to compare the performance of …
The Novel Green Learning
The Novel Green Learning Page 16 The Novel Green Learning Artificial Intelligence for
Prostate Cancer Imaging A Balanced Alternative to Deep Learning and Radiomics Masatomo …
Prostate Cancer Imaging A Balanced Alternative to Deep Learning and Radiomics Masatomo …
MRI-based machine learning models predict the malignant biological behavior of meningioma
M Li, L Liu, J Qi, Y Qiao, H Zeng, W Jiang, R Zhu… - BMC Medical …, 2023 - Springer
Background The WHO grade and Ki-67 index are independent indices used to evaluate the
malignant biological behavior of meningioma. This study aims to develop MRI-based …
malignant biological behavior of meningioma. This study aims to develop MRI-based …
[HTML][HTML] Recent Research Advances in Imaging of Prostate Cancer
Q Hu, S Cheng, C Yuan, C Jin - Journal of Biosciences and Medicines, 2024 - scirp.org
Imaging study plays a crucial role in the diagnosis of prostate cancer. As early screening
and management of prostate cancer has evolved over the past decade, research is now …
and management of prostate cancer has evolved over the past decade, research is now …
Prostate cancer detection using lasers, machine learning and multiparametric MRI
E Edwards - 2024 - researchspace.auckland.ac.nz
Worldwide, prostate cancer is the second most prevalent cancer among men. Currently,
invasive prostate biopsies are the only method of diagnosing prostate cancer. To provide a …
invasive prostate biopsies are the only method of diagnosing prostate cancer. To provide a …
[PDF][PDF] Разработка прогностической модели для диагностики рака предстательной железы на основе радиомики бипараметрической магнитно-резонансной …
АИ Кузнецов - Digital Diagnostics, 2024 - jdigitaldiagnostics.com
АННОТАЦИЯ Обоснование. Рак предстательной железы является одним из наиболее
распространённых онкологических заболеваний среди мужчин [1, 2]. За последние …
распространённых онкологических заболеваний среди мужчин [1, 2]. За последние …
Development of a prognostic model for diagnosis of prostate cancer based on radiomics bpMRI ADC and stacking of machine learning algorithms
A Kuznetsov - Digital Diagnostics, 2024 - jdigitaldiagnostics.com
Background: Prostate cancer (PCa) is one of the most common cancers among men [1, 2]. In
recent years, a number of prognostic models based on texture analysis of biparametric …
recent years, a number of prognostic models based on texture analysis of biparametric …
Development of a prognostic model for diagnosis of prostate cancer based on radiomics of biparametric magnetic resonance imaging apparent diffusion coefficient …
AI Kuznetsov - Digital Diagnostics, 2024 - journals.rcsi.science
BACKGROUND: Prostate cancer is one of the most common cancers among men [1, 2]. In
recent years, a number of prognostic models based on texture analysis of biparametric …
recent years, a number of prognostic models based on texture analysis of biparametric …