関連する実験動画

Updated: May 5, 2026

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.3K

手術中の超高速深層学習の中枢神経腫瘍の分類

C Vermeulen1,2, M Pagès-Gallego1,2, L Kester3

  • 1Oncode Institute, Utrecht, The Netherlands.

Nature
|October 11, 2023
PubMed
まとめ

新しいAIツールであるSturgeonは 迅速なシーケンスを使って 手術中の中枢神経系腫瘍を 正確に分類します この機械学習による診断は 神経外科医を助け 患者の治療結果を改善し 合併症を軽減します

さらに関連する動画

Flexible Organic Electronic Devices for Pulsed Electric Field Therapy of Glioblastoma11:02

Flexible Organic Electronic Devices for Pulsed Electric Field Therapy of Glioblastoma

Published on: August 9, 2022

2.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

関連する概念動画

Seizures: Classification01:13

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
2.5K