Minkang Zhang Enhances Microscopic Image Analysis Through Deep Learning and Intelligent AFM Processing

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...
ascopubs.org

Deep learning-based brain tumor segmentation on limited sequences of magnetic resonance imaging.

Predictions of overall survival (OS) and progression-free survival (PFS) for specific therapeutic interventions in newly diagnosed glioblastoma multiforme (GBM) using Cellworks Singula: myCare-024-04.
EurekAlert!

DeepWMH: a deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...
News Medical

Novel geometric deep learning model improves stroke lesion segmentation

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...

AI tool mimics pathologists to improve breast cancer tissue analysis accuracy

A research team led by two University of Maine Ph.D. students developed an artificial intelligence (AI) system that could ...
Labroots

Life beyond the pixels: single-cell analysis using deep learning and image analysis methods

In this talk I will give an overview of the computational steps in the analysis of a single cell-based large-scale microscopy experiments. First, I will present a novel microscopic image correction ...
JSTOR Daily

Tropical and Extratropical Cyclone Detection Using Deep Learning

Extracting valuable information from large sets of diverse meteorological data is a time-intensive process. Machine-learning methods can help to improve both speed and accuracy of this process.