This is known as a PET-CT scan. To determine the size of a cancerous tumour lesions, doctors have to manually marking 2D slice images – a task which is extremely time-consuming. Professor Rainer ...

The lipofuscin component of the image was removed, leaving the thioflavine S components for 3D reconstruction and analysis using the Rayburst sampling algorithm (see Wearne et al. 19, Fig. 12 and ...

Artificial intelligence: Algorithms improve medical image analysis. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 01 / 250102162630.htm ...

A comparison of brain-image reconstruction techniques. The original images are shown in the top row, while the results of the new deep generative multivew model are shown in the bottom row. One of ...

Pengfei Zhang 12, Shuangfang Lu 1, Junqian Li 1, Ping Zhang 12, Liujuan Xie 12, Haitao Xue 1, Jie Zhang 12, Multi-component segmentation of X-ray computed tomography (CT) image using multi-Otsu ...

Tech giants love to tout how good their computers are at identifying what’s depicted in a photograph. In 2015, deep learning algorithms designed by Google, Microsoft, and China’s Baidu ...

An MIT-led research team has crafted a machine learning algorithm that can analyze 3D scans up to 1,000 times faster than before, ... Speedy AI image analysis could help doctors during surgery.

NOVATO, Calif., January 14, 2025--QT Imaging Holdings, Inc. (NASDAQ:QTI) ("QTI") a medical device company engaged in research, development, and commercialization of innovative body imaging systems ...