MRI is an important tool for accurate detection and targeted biopsy of prostate lesions. However, the imaging appearances of some prostate cancers are similar to those of the surrounding normal tissue on MRI, which are referred to as MRI-invisible prostate cancers (MIPCas). The detection of MIPCas remains challenging and requires extensive systematic biopsy for identification. In this study, we developed a weakly supervised UNet (WSUNet) to detect MIPCas.

Yao Zheng

Jingliang Zhang

Dong Huang

Xiaoshuo Hao

Weijun Qin

Yang Liu

International Journal of Biomedical Imaging

The last quarter century has witnessed major advancements that have brought biomedical imaging to a paramount status in life sciences. As a prominent example, the National Institute of Biomedical Imaging and Bioengineering (NIBIB) was established in 2000 as the newest institute in the National Institutes of Health (NIH), USA. Generally speaking, the scope of biomedical imaging covers data acquisition, image reconstruction, and image analysis, involving theories, methods, systems, and applications. While tomographic and post-processing techniques become increasingly sophisticated, traditional and emerging modalities play more and more critical roles in anatomical, functional, cellular, and molecular imaging.

Over the last quarter-century, the field of biomedical imaging has undergone significant advancements, establishing its paramount importance in the life sciences. A notable example is the establishment of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in 2000, which became the newest institute within the National Institutes of Health (NIH) in the USA. Generally speaking, the scope of biomedical imaging includes data acquisition, image reconstruction, and image analysis, involving theories, methods, systems, and applications. As tomographic and post-processing techniques become increasingly sophisticated, both traditional and emerging modalities play increasingly critical roles in anatomical, functional, cellular, and molecular imaging.

在过去的四分之一个世纪中，生物医学成像领域经历了重大的进展，使其在生命科学中占据了重要地位。一个显著的例子是，生物医学成像与生物工程国家研究所（NIBIB）于2000年成立，成为美国国家卫生研究院（NIH）中最新的研究所。一般而言，生物医学成像的范围涵盖数据采集、图像重建和图像分析，涉及理论、方法、系统和应用。随着层析成像和后处理技术的日益复杂，传统和新兴成像方式在解剖、功能、细胞和分子成像中扮演着越来越重要的角色。

Detecting MRI-Invisible Prostate Cancers Using a Weakly Supervised Deep Learning Model

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Journal Info

Category	Quartile
ENGINEERING, BIOMEDICAL	2