Optimizing inference of segmentation on high-resolution images in MLExchange.

Shizhao Lu, Tanny Chavez, Wiebke Koepp, Guanhua Hao, Petrus H Zwart, Alexander Hexemer

Abstract read

In one paragraph

Article in The Journal of supercomputing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shizhao LuAdvanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

Tanny ChavezAdvanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

Wiebke KoeppAdvanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

Guanhua HaoAdvanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

Petrus H ZwartCenter for Advanced Mathematics for Energy Research Applications, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

Alexander HexemerAdvanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

Funding

New Tools for Experimental Phasing of Twinned Diffraction DataR21GM129649 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI ZWART, PETRUS H · 2019 to 2020

$556k

NIGMS NIH HHS R21 GM129649

6 · The paper itself

Abstract

MLExchange is a machine learning (ML) operations platform providing web user-interfaces (UIs) for data visualization and analysis pipelines at synchrotron facilities. Among these UIs is the segmentation app which helps synchrotron users utilize ML algorithms to automatically segment high-resolution scientific images with minimal manual annotation effort. In this work, we share code optimizations that significantly speed up the segmentation inference workflow of large data in short time. By optimizing the sequence of CPU-GPU data transfers and introducing CPU parallelization to key operations, we improve the per-device, per-image frame computational efficiency and observe close to 3

Indexed as

Distributed computingImage segmentationMachine learningModel inferenceMulti-GPUTomography

Identifiers

PMID40546286

DOI10.1007/s11227-025-07413-5

PMCPMC12181103

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.