Medical Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

6 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

29 shown of 29 papers with code (41 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.

• MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
  12 Aug 2019 15 repositories listed
  When reading medical images such as a computed tomography (CT) scan, radiologists generally search across the image to find lesions, characterize and measure them, and then describe them in the radiological report.
• Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
  21 Nov 2018 6 repositories listed
  The proposed architecture recaptures discarded supervision signals by complementing object detection with an auxiliary task in the form of semantic segmentation without introducing the additional complexity of…
• Detecting Cancer Metastases on Gigapixel Pathology Images
  3 Mar 2017 6 repositories listed
  At 8 false positives per image, we detect 92.
• 3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
  25 Jun 2018 4 repositories listed
  3D context is known to be helpful in this differentiation task.
• Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
  5 Jun 2019 3 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  We propose a highly accurate and efficient one-stage lesion detector, by re-designing a RetinaNet to meet the particular challenges in medical imaging.
• Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
  2 Dec 2021 2 repositories listed
  The computer-aided diagnosis of focal liver lesions (FLLs) can help improve workflow and enable correct diagnoses; FLL detection is the first step in such a computer-aided diagnosis.
• CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery
  4 Aug 2024 1 repository listed
  To address this challenge, we propose CAF-YOLO, based on the YOLOv8 architecture, a nimble yet robust method for medical object detection that leverages the strengths of convolutional neural networks (CNNs) and…
• 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.
• 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.
• CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
  30 Aug 2023 1 repository listed
  Inspired by the recent anchor free CNN-based circular object detection method (CircleNet) for ball-shape glomeruli detection in renal pathology, in this paper, we present CircleFormer, a Transformer-based circular…
• 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.
• nnDetection for Intracranial Aneurysms Detection and Localization
  22 May 2023 1 repository listed
  Intracranial aneurysms are a commonly occurring and life-threatening condition, affecting approximately 3.
• 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,…
• DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
  3 Apr 2023 1 repository listed
  While there exist multiple, general-purpose, deep learning-based object detection and counting methods, they may not readily transfer to detecting and counting cells in medical images, due to the limited data, presence…
• Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark
  24 Nov 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  The evaluation of object detection models is usually performed by optimizing a single metric, e.
• Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence
  3 Aug 2022 1 repository listed
  AcneDet includes two models for two tasks: (1) a Faster R-CNN-based deep learning model for the detection of acne lesion objects of four types, including blackheads/whiteheads, papules/pustules, nodules/cysts, and acne…
• Transformers in Medical Imaging: A Survey
  24 Jan 2022 1 repository listed
  Following unprecedented success on the natural language tasks, Transformers have been successfully applied to several computer vision problems, achieving state-of-the-art results and prompting researchers to reconsider…
• Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
  5 Jan 2022 1 repository listed
  The difficulties in both data acquisition and annotation substantially restrict the sample sizes of training datasets for 3D medical imaging applications.
• Circle Representation for Medical Object Detection
  22 Oct 2021 1 repository listed
  Compared with the conventional bounding box representation, the proposed bounding circle representation innovates in three-fold: (1) it is optimized for ball-shaped biomedical objects; (2) The circle representation…
• nnDetection: A Self-configuring Method for Medical Object Detection
  1 Jun 2021 1 repository listed
  Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of high clinical relevance because diagnostic decisions often depend on rating of objects…
• Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
  16 Dec 2020 1 repository listed
  We demonstrate that with the novel pre-training method, the proposed MP3D FPN achieves state-of-the-art detection performance on the DeepLesion dataset (3.
• Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
  15 Nov 2020 1 repository listed
  Benchmarking of novel methods can provide a direction to the development of automated polyp detection and segmentation tasks.
• MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
  10 Sep 2019 1 repository listed
  In this paper, we propose to incorporate domain knowledge in clinical practice into the model design of universal lesion detectors.
• Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
  20 Nov 2018 1 repository listed
  Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy…
• Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector
  2 Jul 2018 1 repository listed
  We present a focal liver lesion detection model leveraged by custom-designed multi-phase computed tomography (CT) volumes, which reflects real-world clinical lesion detection practice using a Single Shot MultiBox…

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.