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

201715,262 citationsDOI ↗

Segment Anything

202310,814 citationsDOI ↗

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

20209,754 citationsDOI ↗

A ConvNet for the 2020s

20228,251 citationsDOI ↗

Cellpose: a generalist algorithm for cellular segmentation

20204,375 citationsDOI ↗

Image Segmentation Using Deep Learning: A Survey

20213,674 citationsDOI ↗

Signals

21

Papers · in corpus

84k

Citations · corpus total

0.0%

Recent share · since 2024

2016–2023

Span · publication years

Who is doing the work

Stanford UniversityUS4
Janelia Research CampusUS3
Meta (Israel)IL3
Meta (United States)US3
Harvard UniversityUS3
Heidelberg UniversityDE3
Institut national de recherche en sciences et technologies du numériqueFR3
Howard Hughes Medical InstituteUS3

Most published researchers

Vijayan K. Asari3
Tarek M. Taha3
Md Zahangir Alom3
Chris Yakopcic3
Md. Mahmudul Hasan2
Alexander M. Kirillov2

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 Encoder3 Transformer3 Machine learning2 Task (project management)2 Field (mathematics)2