medical image detection

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.

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

12 shown of 12 papers with code (20 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.

• MONAI: An open-source framework for deep learning in healthcare
  4 Nov 2022 2 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  For AI models to be used clinically, they need to be made safe, reproducible and robust, and the underlying software framework must be aware of the particularities (e.
• A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario
  26 Jan 2025 1 repository listed
  Background: Malaria is a critical and potentially fatal disease caused by the Plasmodium parasite and is responsible for more than 600, 000 deaths globally.
• Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
  1 Oct 2024 1 repository listed
  Children often suffer wrist trauma in daily life, while they usually need radiologists to analyze and interpret X-ray images before surgical treatment by surgeons.
• Enhancing Wrist Fracture Detection with YOLO
  17 Jul 2024 1 repository listed
  Meanwhile, YOLOv8x recorded the highest mAP of 0.
• Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection
  3 Jul 2024 1 repository listed
  Children often suffer wrist injuries in daily life, while fracture injuring radiologists usually need to analyze and interpret X-ray images before surgical treatment by surgeons.
• Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma
  16 May 2024 1 repository listed Syntology ran 13 of 17 samples · 4 unverified
  Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice.
• YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
  17 Mar 2024 1 repository listed
  The introduction of YOLOv9, the latest version of the You Only Look Once (YOLO) series, has led to its widespread adoption across various scenarios.
• YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
  14 Feb 2024 1 repository listed
  Therefore, we combine ResBlock and GAM, introducing ResGAM to design another new YOLOv8-AM model, whose mAP 50 value is increased to 65.
• BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
  22 Sep 2023 1 repository listed
  You Only Look Once (YOLO)-based object detectors have shown remarkable accuracy for automated brain tumor detection.
• RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection
  31 Jul 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks have become one of the most efficient algorithms for object detection.
• CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
  26 Jun 2023 1 repository listed
  Blood cell detection is a typical small-scale object detection problem in computer vision.
• Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
  11 Apr 2023 1 repository listed
  To enable surgeons to use our model for fracture detection on pediatric wrist trauma X-ray images, we have designed the application "Fracture Detection Using YOLOv8 App" to assist surgeons in diagnosing fractures,…

Syntology lines on 3 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.