Browse State-of-the-Art › Nuclear Segmentation
Nuclear Segmentation
13 papers with code · 1 benchmark · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Cell17 (4 rows) | Cell R-CNN | Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
13 shown of 13 papers with code (33 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
21 Nov 2016 192 repositories listed Syntology ran 14 of 122 samples · 108 unverified · 1 pointer-only (licence)We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.
-
20 Mar 2017 179 repositories listed Syntology ran 42 of 140 samples · 98 unverified · 23 pointer-only (licence)Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
-
27 Mar 2016 80 repositories listed Syntology ran 13 of 46 samples · 33 unverified · 5 pointer-only (licence)We consider image transformation problems, where an input image is transformed into an output image.
-
16 Dec 2018 4 repositories listed Syntology ran 1 of 6 samples · 5 unverifiedNuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow.
-
24 Mar 2024 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have been devoted to build foundation models…
-
6 Apr 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedHistology images are inherently symmetric under rotation, where each orientation is equally as likely to appear.
-
14 Nov 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverifiedDomain generalisation in computational histopathology is challenging because the images are substantially affected by differences among hospitals due to factors like fixation and staining of tissue and imaging equipment.
-
11 Mar 2023 1 repository listedNuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome.
-
28 Dec 2022 1 repository listedTissue image generation based on bespoke cellular layouts through the proposed framework allows users to generate different histological patterns from arbitrary topological arrangement of different types of cells.
-
1 Mar 2022 1 repository listedIn this work, we present a solution framed as a simultaneous semantic and instance segmentation framework.
-
9 Feb 2022 1 repository listedWe show that the proposed network achieves the state-of-the-art performance in both nuclei segmentation and classification in comparison to several methods that are recently developed for segmentation and/or…
-
2 Oct 2020 1 repository listedInstance segmentation is a key step for quantitative microscopy.
-
10 Aug 2019 1 repository listedAutomated detection and segmentation of individual nuclei in histopathology images is important for cancer diagnosis and prognosis.
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections