Organ Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

1 dataset 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

5 shown of 5 papers with code (9 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.

• Detection and Annotation of Plant Organs from Digitized Herbarium Scans using Deep Learning
  26 Jul 2020 3 repositories listed
  As herbarium specimens are increasingly becoming digitized and accessible in online repositories, advanced computer vision techniques are being used to extract information from them.
• MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection
  20 Dec 2024 1 repository listed
  For the pancreas tumor detection task, the IoU score was 0.
• MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
  6 Aug 2024 1 repository listed Syntology ran 8 of 8 samples · 0 unverified · 8 pointer-only (licence)
  Unlike the existing multimodal datasets, which are limited by the availability of image-text pairs, we have developed the first automated pipeline that scales up multimodal data by generating multigranular visual and…
• Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention
  3 Jun 2021 1 repository listed
  Plant species identification in the wild is a difficult problem in part due to the high variability of the input data, but also because of complications induced by the long-tail effects of the datasets distribution.
• A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation
  16 Apr 2020 1 repository listed
  To address this problem, we propose a generic semi-supervised learning framework for image segmentation based on a deep convolutional neural network (DCNN).

Syntology lines on 1 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.