Segment brain tumors in MRI scans using a 2D U-Net on the BraTS 2020 dataset for precise multi-class tumor sub-region identification. Distance Map auxiliary loss for brain tumor segmentation (BraTS ...

🚀：Feb 2019 the data processing implementation in this repo is not the fastest way (code need update, contribution is welcome), you can use TensorFlow dataset API instead. This repo show you how to ...

The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion─Israel Institute of Technology, Haifa 3200003, Israel The ...

Accurate characterization of glioma is essential for effective clinical decision-making. Most current studies involve a limited number of patients and focus solely on single-gene tasks. This research ...

We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...

Doctors have pulled a live and wriggling eight-centimetre parasite from an Australian woman's brain after she caught it from a carpet python in an apparent world first. The 64-year-old woman from ...

In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning ...

As gliomas proliferate, they infiltrate healthy brain tissue. Often, patients with such tumors in the language areas of the brain develop aphasia. Understanding how gliomas interact with normal neural ...