Evidence map›Paper›PMID 42662535›Full record

ArticleiScience2026

DEEPFIN: A deep learning tool for fish image classification from unlabeled data.

Alexandru Mihai, Billy Moore, Marleen Klann, Vincent Laudet, Timothy Ravasi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. 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

5 authors.

Alexandru MihaiMarine Climate Change Unit, Okinawa Institute of Science and Technology (OIST), Onna, Okinawa, Japan.
Billy MooreMarine Climate Change Unit, Okinawa Institute of Science and Technology (OIST), Onna, Okinawa, Japan.
Marleen KlannMarine Eco-Evo-Devo Unit, Okinawa Institute of Science and Technology (OIST), Onna, Okinawa, Japan.
Vincent LaudetMarine Eco-Evo-Devo Unit, Okinawa Institute of Science and Technology (OIST), Onna, Okinawa, Japan.
Timothy RavasiMarine Climate Change Unit, Okinawa Institute of Science and Technology (OIST), Onna, Okinawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automating fish image classification would relieve a growing annotation bottleneck in ecology, developmental biology, and fisheries science, where imagery accumulates far faster than experts can label it. We present DEEPFIN, an annotation-free image analysis pipeline that combines foreground segmentation, frozen pretrained convolutional encoders, non-linear dimensionality reduction, and density-based clustering. DEEPFIN recovers the seven canonical developmental stages of the clownfish

Indexed as

Developmental stage classificationFeature extractionSpecies classificationUnsupervised learning

Identifiers

PMID42662535
PMCPMC13521062

What OpenQuestion holds

Textmetadata
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.