Evidence map›Paper›PMID 42650002›Full record

ArticleCancers2026

Attention U-Net-Based Segmentation and Hybrid Classification for Detection of Circulating Tumor-Associated Cells.

Massimo Cristofanilli, Sewanti Limaye, Nitesh Rohatgi, Timothy Crook, Humaid O Al-Shamsi, Andrew Gaya, Raymond Page, Aditya Shreenivas, Darshana Patil, Vineet Datta and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 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

18 authors.

Massimo CristofanilliDepartment of Medical Oncology, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA.ORCID 0000-0002-4194-7175
Sewanti LimayeDepartment of Medical and Precision Oncology, Sir HN Reliance Foundation Hospital and Research Centre, Mumbai 400004, Maharashtra, India.
Nitesh RohatgiDepartment of Medical Oncology, Fortis Memorial Research Institute, Gurugram 122003, Haryana, India.
Timothy CrookDepartment of Medical Oncology, Cromwell Hospital, London SW5 0TU, UK.
Humaid O Al-ShamsiBurjeel Cancer Institute, Burjeel Medical City, Abu Dhabi 114448, United Arab Emirates.ORCID 0000-0003-3819-0500
Andrew GayaDepartment of Clinical Oncology, Cromwell Hospital, London SW5 0TU, UK.ORCID 0000-0001-6444-870X
Raymond PageDepartment of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.ORCID 0000-0003-2342-9590
Aditya ShreenivasDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.ORCID 0000-0002-8523-1523
Darshana PatilDatar Cancer Genetics, Nasik 422010, Maharashtra, India.
Vineet DattaDatar Cancer Genetics, Nasik 422010, Maharashtra, India.ORCID 0000-0002-9910-754X
Dadasaheb AkolkarDatar Cancer Genetics, Nasik 422010, Maharashtra, India.ORCID 0000-0002-4434-488X
Stefan SchusterDatar Cancer Genetics Europe GmbH, 95447 Bayreuth, Germany.
Prashant KumarDatar Cancer Genetics, Nasik 422010, Maharashtra, India.
Shoeb PatelDatar Cancer Genetics, Nasik 422010, Maharashtra, India.
Pradyumna ShejwalkarDatar Cancer Genetics, Nasik 422010, Maharashtra, India.
Snehal GolarDatar Cancer Genetics, Nasik 422010, Maharashtra, India.
Ajay SrinivasanDatar Cancer Genetics, Nasik 422010, Maharashtra, India.ORCID 0000-0002-3145-9469
Rajan DatarDatar Cancer Genetics, Nasik 422010, Maharashtra, India.ORCID 0009-0004-7658-5022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceattention U-Netcirculating tumor associated cells (CTACs)circulating tumor cells (CTCs)image based cell detectionliquid biopsymulti-cancer early detection (MCED)pixel-level segmentationskip connectionsU-Net architecture

Identifiers

PMID42650002
PMCPMC13511424

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.