Medical Image Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 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. 10 shown of 11 until expanded.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 183 papers with code (424 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.

• Deep Residual Learning for Image Recognition
  10 Dec 2015 484 repositories listed Syntology ran 230 of 377 samples · 147 unverified · 187 pointer-only (licence)
  Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
• Densely Connected Convolutional Networks
  25 Aug 2016 146 repositories listed Syntology ran 18 of 71 samples · 53 unverified · 7 pointer-only (licence)
  Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  28 May 2019 144 repositories listed Syntology ran 171 of 302 samples · 131 unverified · 112 pointer-only (licence)
  Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available.
• Res2Net: A New Multi-scale Backbone Architecture
  2 Apr 2019 34 repositories listed Syntology ran 3 of 9 samples · 6 unverified · 9 pointer-only (licence)
  We evaluate the Res2Net block on all these models and demonstrate consistent performance gains over baseline models on widely-used datasets, e.
• ResNet strikes back: An improved training procedure in timm
  1 Oct 2021 14 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We share competitive training settings and pre-trained models in the timm open-source library, with the hope that they will serve as better baselines for future work.
• RegNet: Self-Regulated Network for Image Classification
  3 Jan 2021 14 repositories listed
  The ResNet and its variants have achieved remarkable successes in various computer vision tasks.
• Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
  20 Feb 2018 12 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 5 pointer-only (licence)
  In this paper, we propose a Recurrent Convolutional Neural Network (RCNN) based on U-Net as well as a Recurrent Residual Convolutional Neural Network (RRCNN) based on U-Net models, which are named RU-Net and R2U-Net…
• Contrastive Learning of Medical Visual Representations from Paired Images and Text
  2 Oct 2020 7 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Existing work commonly relies on fine-tuning weights transferred from ImageNet pretraining, which is suboptimal due to drastically different image characteristics, or rule-based label extraction from the textual report…
• DaViT: Dual Attention Vision Transformers
  7 Apr 2022 4 repositories listed Syntology ran 8 of 15 samples · 7 unverified
  We show that these two self-attentions complement each other: (i) since each channel token contains an abstract representation of the entire image, the channel attention naturally captures global interactions and…
• Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
  6 Dec 2020 4 repositories listed
  Our studies demonstrate that the proposed DAM method improves the performance of optimizing cross-entropy loss by a large margin, and also achieves better performance than optimizing the existing AUC square loss on…
• Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge
  11 Oct 2020 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We present our winning solution to the SIIM-ISIC Melanoma Classification Challenge.
• LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
  29 Sep 2024 2 repositories listed Syntology ran 10 of 13 samples · 3 unverified · 2 pointer-only (licence)
  To accomplish the above objective, we propose a novel framework named Low-Rank Knowledge Decomposition (LoRKD), which explicitly separates gradients from different tasks by incorporating low-rank expert modules and…
• Prompt-driven Latent Domain Generalization for Medical Image Classification
  5 Jan 2024 2 repositories listed
  To address these challenges, we propose a novel DG framework for medical image classification without relying on domain labels, called Prompt-driven Latent Domain Generalization (PLDG).
• Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
  15 Aug 2023 2 repositories listed
  In this study, we explored if SSL for pre-training on non-medical images can be applied to chest radiographs and how it compares to supervised pre-training on non-medical images and on medical images.
• Understanding Silent Failures in Medical Image Classification
  27 Jul 2023 2 repositories listed
  Based on the result that none of the benchmarked CSFs can reliably prevent silent failures, we conclude that a deeper understanding of the root causes of failures in the data is required.
• Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
  3 Feb 2023 2 repositories listed
  In this work, we evaluated the effect of privacy-preserving training of AI models regarding accuracy and fairness compared to non-private training.
• On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
  4 Jan 2023 2 repositories listed
  In this paper, we propose a novel method for fair representation learning with respect to multi-sensitive attributes.
• Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
  8 Nov 2022 2 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 2 pointer-only (licence)
  The availability of large public datasets and the increased amount of computing power have shifted the interest of the medical community to high-performance algorithms.
• 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.
• Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
  17 Oct 2022 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  The framework employs a novel self-paced sampling strategy to ensure the accuracy of pseudo labels.
• Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
  21 Apr 2022 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  We release a new dataset with locally-aligned phrase grounding annotations by radiologists to facilitate the study of complex semantic modelling in biomedical vision--language processing.
• Deep Multimodal Guidance for Medical Image Classification
  10 Mar 2022 2 repositories listed
  Furthermore, in the case of brain tumor classification, our method outperforms the model trained on the superior modality while producing comparable results to the model that uses both modalities during inference.
• Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
  11 Sep 2021 2 repositories listed
  With the development of deep learning, medical image classification has been significantly improved.
• Rethinking Transfer Learning for Medical Image Classification
  9 Jun 2021 2 repositories listed
  Transfer learning (TL) from pretrained deep models is a standard practice in modern medical image classification (MIC).
• SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data
  21 Apr 2021 2 repositories listed
  The downstream task in our paper is a class imbalanced multi-label classification.
• DenseNet for Breast Tumor Classification in Mammographic Images
  24 Jan 2021 2 repositories listed
  Thus, the aim of this study is to build a deep convolutional neural network method for automatic detection, segmentation, and classification of breast lesions in mammography images.
• Tensor Networks for Medical Image Classification
  21 Apr 2020 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  With the increasing adoption of machine learning tools like neural networks across several domains, interesting connections and comparisons to concepts from other domains are coming to light.
• Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
  22 Aug 2018 2 repositories listed
  AGs can be easily integrated into standard CNN models such as VGG or U-Net architectures with minimal computational overhead while increasing the model sensitivity and prediction accuracy.
• Deep Modeling and Optimization of Medical Image Classification
  29 May 2025 1 repository listed
  To face these challenges, we considered three scenarios: 1) we introduce a novel CLIP variant using four CNNs and eight ViTs as image encoders for the classification of brain cancer and skin cancer, 2) we combine 12…
• Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
  26 May 2025 1 repository listed
  This study investigates the application of recent state-of-the-art foundation models, DINOv2, MAE, VMamba, CoCa, SAM2, and AIMv2, for medical image classification.

Syntology lines on 15 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.