Lesion Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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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

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Most implemented papers archive 2025-07-28

30 shown of 71 papers with code (257 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.
• 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.
• Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
  20 Sep 2024 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy.
• IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
  30 Apr 2024 2 repositories listed
  The training is conditioned on image class labels (healthy vs.
• A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
  28 Mar 2024 2 repositories listed
  We address this gap by presenting a novel ensemble algorithm derived from the 2022 Ischemic Stroke Lesion Segmentation (ISLES) challenge.
• FCN-Transformer Feature Fusion for Polyp Segmentation
  17 Aug 2022 2 repositories listed
  The resulting features from both branches are then fused for final prediction of a h×w segmentation map.
• A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
  1 Jul 2022 2 repositories listed
  Moreover, we learn video-level features to classify the breast lesions of the original video as benign or malignant lesions to further enhance the final breast lesion detection performance in ultrasound videos.
• 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.
• Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets
  13 May 2021 2 repositories listed
  Fast and precise stroke lesion detection and location is an extreme important process with regards to stroke diagnosis, treatment, and prognosis.
• A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
  1 Jan 2020 2 repositories listed
  However, the size of images and variability in histopathology tasks makes it a challenge to develop an integrated framework for histopathology image analysis.
• Reg R-CNN: Lesion Detection and Grading under Noisy Labels
  22 Jul 2019 2 repositories listed
  To this end, we propose Reg R-CNN, which replaces the second-stage classification model of a current object detector with a regression model.
• Lesion Focused Super-Resolution
  15 Oct 2018 2 repositories listed
  Super-resolution (SR) for image enhancement has great importance in medical image applications.
• From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance
  26 May 2025 1 repository listed
  Transformer-based CLIP models are widely used for text-image probing and feature extraction, making it relevant to understand the internal mechanisms behind their predictions.
• SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
  29 Apr 2025 1 repository listed
  This study introduces ScopeMRI, the first publicly available, expert-annotated dataset for shoulder pathologies, and presents a deep learning (DL) framework for detecting Bankart lesions on both standard MRIs and MRAs.
• MediAug: Exploring Visual Augmentation in Medical Imaging
  26 Apr 2025 1 repository listed
  Data augmentation is essential in medical imaging for improving classification accuracy, lesion detection, and organ segmentation under limited data conditions.
• U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord
  17 Mar 2025 1 repository listed
  However, existing UAD methods rely on curated normal datasets and their performance frequently deteriorates when applied to clinical datasets due to domain shifts.
• AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
  9 Mar 2025 1 repository listed
  To address this problem, we propose Anomaly-Aware CLIP (AA-CLIP), which enhances CLIP's anomaly discrimination ability in both text and visual spaces while preserving its generalization capability.
• The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection
  30 Jan 2025 1 repository listed
  This dataset aims to facilitate training and benchmarking of algorithms, with the goal of enabling early detection of skin cancer and deployment of this technology in non-clinical environments.
• LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection
  18 Oct 2024 1 repository listed
  Thus, this project aims to contribute to developing multimodal machine learning-based models to cope with the skin lesion classification task employing a lightweight transformer model.
• XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAM
  25 Sep 2024 1 repository listed
  Multiple Sclerosis (MS) is a chronic disease that causes lesions in the central nervous system.
• Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
  20 Sep 2024 1 repository listed
  This report presents a normalization block for automated tumor segmentation in CT/PET scans, developed for the autoPET III Challenge.
• 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…
• CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis
  24 Jul 2024 1 repository listed
  Our framework leverages unpaired mammography data to enhance the training of a DBT model, improving practicality by eliminating the need for mammography during inference.
• Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
  29 Jun 2024 1 repository listed
  Detecting and classifying lesions in breast ultrasound images is a promising application of artificial intelligence (AI) for reducing the burden of cancer in regions with limited access to mammography.
• Localizing Anomalies via Multiscale Score Matching Analysis
  28 Jun 2024 1 repository listed
  This paper introduces Spatial-MSMA (Multiscale Score Matching Analysis), a novel unsupervised method for anomaly localization in volumetric brain MRIs.
• A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
  5 Jun 2024 1 repository listed
  This paper addresses this issue by proposing a comprehensive visual anomaly detection benchmark, ADer, which is a modular framework that is highly extensible for new methods.
• An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images
  3 May 2024 1 repository listed
  Early detection of cancer can help improve patient prognosis by early intervention.
• Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses
  16 Nov 2023 1 repository listed
  We also introduce detection criteria for lesion localization and propose a new detection Criterion 3 based on metabolic characteristics.
• UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
  14 Oct 2023 1 repository listed
  Skin cancer poses a significant public health challenge, necessitating efficient diagnostic tools.

Syntology lines on 2 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.