This repo contains PyTorch model definitions, pre-trained weights and inference/sampling code for our paper exploring Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

前列腺作为男性生殖系统的核心实质性器官，其解剖分区与前列腺癌的发生、定位、诊断及治疗方案制定密切相关。前列腺成像报告和数据系统（PI-RADS）作为前列腺多参数磁共振成像（mp-MRI）的全球通用标准，于2019年更新至v2.1版本，在保留核心框架的基础上 ...

本研究针对重复前列腺活检中PI-RADS 3病变的诊断挑战，通过回顾性分析684例患者数据，发现PI-RADS 3是阴性活检的独立预测因子（OR 0.582），而PSA密度（PSAD）在PI-RADS 4-5病变中具有显著风险分层价值（62.4% vs 33.8%），在PI-RADS 3中则差异有限（20.7% vs 16.2%）。该研究为 ...

本研究针对多参数磁共振成像(mpMRI)诊断临床显著性前列腺癌(csPCa)阳性预测值较低、PSA密度(PSAd)最佳阈值存在争议的问题，通过回顾性分析2190例疑似前列腺癌患者数据，系统评估了前列腺体积和PI-RADS分类对PSAd诊断性能的影响。研究发现PI-RADS 1-2和PI-RADS 3患者的 ...

Objectives To evaluate the diagnostic performance and interobserver agreement of PI-RADS v2. Materials and Methods In this Institutional Review Board approved single-center retrospective study, 98 ...

PI-RADS version 2.1 demonstrated improved detection of clinically significant prostate cancer in the transition zone. For detecting clinically significant prostate cancer (csPCa), prostate imaging ...

The study included a total of 476 patients who underwent both a systematic 12-core punch biopsy and multiparametric MRI-guided fusion biopsies from at least one region of interest between January 2022 ...

Objective: To evaluate the diagnostic value of prostate-specific antigen (PSA) density, digital rectal examination (DRE), and family history in predicting prostate cancer among patients with low-risk ...

Purpose To determine if PSAD, PSADtz, and ADC values improve the accuracy of PI-RADS v2 and identify men whose concurrent systematic biopsy detects clinically significant cancer on areas without mpMRI ...

Abstract: This work presents PI-RADS-Net, a deep-learning model inspired by the PI-RADS protocol to detect clinically significant prostate cancers (csPCa) on MRI by emulating radiologists' ...

WEDNESDAY, Aug. 14, 2024 (HealthDay News) -- The baseline magnetic resonance imaging (MRI) Prostate Imaging Reporting and Data System (PI-RADS) score is associated with biopsy reclassification among ...