Evidence map›Paper›PMID 42073463›Full record

ArticleLife (Basel, Switzerland)2026

MassSeg-Framework: A Breast Mass Detection and Segmentation Framework Based on Deep Learning and an Active Contour Model.

Camila Zambrano, Noel Pérez-Pérez, Miguel Coimbra, Maria Baldeon-Calisto, Ricardo Flores-Moyano, José Ramón Mora, Oscar Camacho, Diego Benítez

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 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

8 authors.

Camila ZambranoColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0009-0001-3536-1418
Noel Pérez-PérezColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0000-0003-3166-745X
Miguel CoimbraINESC TEC, Faculdade de Ciências da Universidade do Porto, 4169-007 Porto, Portugal.ORCID 0000-0001-7501-6523
Maria Baldeon-CalistoColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0000-0001-9379-8151
Ricardo Flores-MoyanoColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0000-0002-7785-7761
José Ramón MoraDepartamento de Ingeniería Química, Instituto de Simulación Computacional (ISC-USFQ), Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0000-0001-6128-9504
Oscar CamachoColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0000-0001-8827-5938
Diego BenítezColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.ORCID 0000-0001-6219-067X

Funding

The Universidad San Francisco de Quito supported this work through the Poli-Grants Program 17981, 19031, 24276
6 · The paper itself

Abstract

This work introduces the

Indexed as

active contour modelbreast cancerbreast mass detectionbreast mass segmentationdeep learning

Identifiers

PMID42073463
PMCPMC13117928

What Socratic 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 Socratic graph.