brain-tumor-segmentation/ │ ├── data/ # MRI scans and segmentation masks ├── notebooks/ # Jupyter notebooks for training & testing ├── src/ # Source code (model, preprocessing, utils) │ ├── model.py │ ...

Abstract: Data annotation in medical image segmentation ... art brain tumor image segmentation methods. Remarkably, even with just 1% labeled data, our method achieves a Dice similarity coefficient ...

This project aims to segment brain tumors from MRI scans using a deep learning model. The segmentation identifies various tumor regions from multimodal 3D MRI scans and classifies them accurately.

Researchers still do not have a comprehensive picture of the factors that influence gene expression in human cancers.

A UK dad was diagnosed with a brain tumor after dismissing a seizure while on vacation as “overindulgence and exhaustion.” Wayne Lewis, 62, collapsed in the bathroom, unable to move or speak ...

Scientists and medics have developed an ultra-rapid method of genetically diagnosing brain tumors that will cut the time it takes to classify them from 6-8 weeks, to as little as two hours.The team ...

Combining Laboratory Techniques Yields Wealth of Information About Deadly Brain Tumors May 14, 2025 — Clinicians have demonstrated that doctors can gain a wealth of knowledge about a patient's ...

The study is published in the journal Genes & Development. PA is mainly driven by two genetic changes: the loss of the Neurofibromatosis type 1 (NF1) gene and a rearrangement of KIAA1549: BRAF ...

LOS ANGELES, Calif. (KABC) -- The National Brain Tumor Society hosted its annual 5K walk in an effort to raise awareness and conquer brain tumors in Griffith Park, Crystal Springs. The ABC7 Street ...

Michael Bolton has opened up about the various ways he relied on his family at his Connecticut residence during his aggressive brain cancer treatment—including the game nights that helped take ...