Field dossier · from the corpus

Image segmentation

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

A survey on deep learning in medical image analysis

201714,909 citationsDOI ↗

Segment Anything

20239,987 citationsDOI ↗

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

20209,176 citationsDOI ↗

A ConvNet for the 2020s

20227,677 citationsDOI ↗

Cellpose: a generalist algorithm for cellular segmentation

20204,536 citationsDOI ↗

ilastik: interactive machine learning for (bio)image analysis

20193,701 citationsDOI ↗

Signals

19

Papers · in corpus

75k

Citations · corpus total

0.0%

Recent share · since 2024

2016–2023

Span · publication years

Who is doing the work

Stanford UniversityUS4
University of DaytonUS3
Harvard UniversityUS3
Janelia Research CampusUS3
Comcast (United States)US3
Saint Louis UniversityUS3
Howard Hughes Medical InstituteUS3
Lawrence Livermore National LaboratoryUS3

Most published researchers

Chris Yakopcic3
Vijayan K. Asari3
Tarek M. Taha3
Md Zahangir Alom3
Md. Mahmudul Hasan2
Hanzi Mao2

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Segmentation10 Artificial intelligence10 Deep learning6 Computer vision3 Convolutional neural network3 Machine learning2 Task (project management)2 Field (mathematics)2 Encoder2 Transformer2

Image segmentation · Raz0r Prism