Medical Image Analysis

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

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

17 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 532 papers with code (1,360 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.

• V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  15 Jun 2016 28 repositories listed Syntology ran 2 of 22 samples · 20 unverified
  Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields.
• NiftyNet: a deep-learning platform for medical imaging
  11 Sep 2017 10 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  NiftyNet provides a modular deep-learning pipeline for a range of medical imaging applications including segmentation, regression, image generation and representation learning applications.
• VoxelMorph: A Learning Framework for Deformable Medical Image Registration
  14 Sep 2018 9 repositories listed
  In contrast to this approach, and building on recent learning-based methods, we formulate registration as a function that maps an input image pair to a deformation field that aligns these images.
• Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
  9 Aug 2024 7 repositories listed
  This document provides an overview of the challenge, including the registration process, rules, submission format, description of the datasets used, qualified team rankings, all team descriptions, and the benchmarking…
• Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
  12 May 2021 7 repositories listed Syntology ran 3 of 18 samples · 15 unverified
  In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis.
• Med3D: Transfer Learning for 3D Medical Image Analysis
  1 Apr 2019 7 repositories listed
  The performance on deep learning is significantly affected by volume of training data.
• 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…
• Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning
  1 Jul 2023 5 repositories listed
  To that end, we propose the Medical Image Streaming Toolkit (MIST), a format-agnostic database that enables streaming of medical images at different resolutions and formats from a single high-resolution copy.
• Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
  8 Feb 2021 5 repositories listed
  We compare our loss function performance against six Dice or cross entropy-based loss functions, across 2D binary, 3D binary and 3D multiclass segmentation tasks, demonstrating that our proposed loss function is robust…
• Boundary loss for highly unbalanced segmentation
  17 Dec 2018 5 repositories listed Syntology ran 2 of 26 samples · 24 unverified
  We propose a boundary loss, which takes the form of a distance metric on the space of contours, not regions.
• Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
  21 Feb 2021 4 repositories listed
  This paper introduces a new concept called "transferable visual words" (TransVW), aiming to achieve annotation efficiency for deep learning in medical image analysis.
• Disentangled Representation Learning in Cardiac Image Analysis
  22 Mar 2019 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
  We can venture further and consider that a medical image naturally factors into some spatial factors depicting anatomy and factors that denote the imaging characteristics.
• Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
  30 Nov 2017 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis.
• Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
  13 Mar 2025 3 repositories listed
  It is particularly important for fetal brain MRI, where acquisitions and image processing techniques are less standardized than in adult imaging.
• Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
  2 Dec 2024 3 repositories listed
  Currently, metrics used for this task either rely on the (potentially biased) choice of some downstream task, such as segmentation, or adopt task-independent perceptual metrics (e.
• DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
  5 Mar 2024 3 repositories listed
  Deep learning models have emerged as the cornerstone of medical image segmentation, but their efficacy hinges on the availability of extensive manually labeled datasets and their adaptability to unforeseen categories…
• Augmenting Chest X-ray Datasets with Non-Expert Annotations
  5 Sep 2023 3 repositories listed
  Another strategy to increase the size of a dataset is crowdsourcing, a widely adopted practice in general computer vision with some success in medical image analysis.
• FetMRQC: Automated Quality Control for fetal brain MRI
  12 Apr 2023 3 repositories listed
  Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies.
• Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
  4 Jan 2022 3 repositories listed
  Semantic segmentation of brain tumors is a fundamental medical image analysis task involving multiple MRI imaging modalities that can assist clinicians in diagnosing the patient and successively studying the progression…
• FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
  2 Dec 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e.
• Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
  1 Jan 2021 3 repositories listed
  Segmentation is one of the most important and popular tasks in medical image analysis, which plays a critical role in disease diagnosis, surgical planning, and prognosis evaluation.
• MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
  28 Oct 2020 3 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  We present MedMNIST, a collection of 10 pre-processed medical open datasets.
• Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction
  26 Jul 2020 3 repositories listed
  A common approach to medical image analysis on volumetric data uses deep 2D convolutional neural networks (CNNs).
• Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
  29 Jun 2020 3 repositories listed
  Deep learning-based methods have recently demonstrated promising results in deformable image registration for a wide range of medical image analysis tasks.
• Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
  7 Aug 2019 3 repositories listed
  We also train the model to synthesize brain disorder MRI data to demonstrate the wide applicability of our model.
• Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
  2 Aug 2019 3 repositories listed
  In many medical image analysis applications, often only a limited amount of training data is available, which makes training of convolutional neural networks (CNNs) challenging.
• CE-Net: Context Encoder Network for 2D Medical Image Segmentation
  7 Mar 2019 3 repositories listed
  In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.
• AirLab: Autograd Image Registration Laboratory
  26 Jun 2018 3 repositories listed
  With the "Autograd Image Registration Laboratory" (AIRLab), we introduce an open laboratory for image registration tasks, where the analytic gradients of the objective function are computed automatically and the device…
• An Unsupervised Learning Model for Deformable Medical Image Registration
  7 Feb 2018 3 repositories listed
  We define registration as a parametric function, and optimize its parameters given a set of images from a collection of interest.
• Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
  2 Feb 2018 3 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)
  In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification.

Syntology lines on 9 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.