Cancer Classification

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

1 dataset 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.

Most implemented papers archive 2025-07-28

30 shown of 56 papers with code (208 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.

• Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
  17 Aug 2019 4 repositories listed
  The training procedure of OmiVAE is comprised of an unsupervised phase without the classifier and a supervised phase with the classifier.
• Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
  29 Aug 2024 2 repositories listed
  This study evaluates the effectiveness of deep learning models in classifying histopathological images for early and accurate detection of breast cancer.
• XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
  26 May 2021 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  To the best of our knowledge, XOmiVAE is one of the first activation level-based interpretable deep learning models explaining novel clusters generated by VAE.
• A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images
  23 Oct 2019 2 repositories listed
  The pipeline consists of fully convolutional regression-based nucleus detection, followed by per-cell focus selection, and CNN based classification.
• Skin Lesion Synthesis with Generative Adversarial Networks
  8 Feb 2019 2 repositories listed
  Skin cancer is by far the most common type of cancer.
• Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging
  19 Feb 2025 1 repository listed
  We evaluate Triad across three tasks, namely, organ/tumor segmentation, organ/cancer classification, and medical image registration, in two data modalities (within-domain and out-of-domain) settings using 25 downstream…
• Joint Modelling Histology and Molecular Markers for Cancer Classification
  11 Feb 2025 1 repository listed
  We introduce a novel digital pathology approach to jointly predict molecular markers and histology features and model their interactions for cancer classification.
• MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis
  22 Jan 2025 1 repository listed
  In this study, we propose MEDFORM, a multimodal pre-training strategy that guides CT image representation learning using complementary information from clinical data for medical foundation model development.
• MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection
  20 Dec 2024 1 repository listed
  For the pancreas tumor detection task, the IoU score was 0.
• TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes
  17 Dec 2024 1 repository listed
  Molecular subtyping of cancer is recognized as a critical and challenging upstream task for personalized therapy.
• Breast Tumor Classification Using EfficientNet Deep Learning Model
  26 Nov 2024 1 repository listed
  Our approach improved the performance of multi-class tasks from 91.
• Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
  25 Nov 2024 1 repository listed
  Purpose: This study evaluates the performance of lesion-level and chest-region models for lung cancer classification, comparing their effectiveness across internal Duke Lung Nodule Dataset 2024 (DLND24) and external…
• Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
  24 Nov 2024 1 repository listed
  Purpose: This study investigated how nodule segmentation and surrounding peritumoral regions influence radionics-based lung cancer classification.
• Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
  14 Nov 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Domain generalisation in computational histopathology is challenging because the images are substantially affected by differences among hospitals due to factors like fixation and staining of tissue and imaging equipment.
• Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
  8 Nov 2024 1 repository listed
  In healthcare, generative artificial intelligence (AI) models have been employed to create synthetic data, addressing data imbalance in datasets by augmenting underrepresented classes and enhancing the overall quality…
• MamT⁴: Multi-view Attention Networks for Mammography Cancer Classification
  3 Nov 2024 1 repository listed
  In this study, we introduce a novel method, called MamT⁴, which is used for simultaneous analysis of four mammography images.
• Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
  5 Oct 2024 1 repository listed
  Multi-omics data is increasingly being utilized to advance computational methods for cancer classification.
• LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
  30 Aug 2024 1 repository listed
  The application of machine learning methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understanding of the molecular mechanisms…
• Interpretable breast cancer classification using CNNs on mammographic images
  23 Aug 2024 1 repository listed
  Deep learning models have achieved promising results in breast cancer classification, yet their 'black-box' nature raises interpretability concerns.
• HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis
  16 Aug 2024 1 repository listed
  In pathological research, education, and clinical practice, the decision-making process based on pathological images is critically important.
• Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data
  17 Jul 2024 1 repository listed
  This work addresses these challenges exploring and quantifying the utility of privacy-preserving deep learning techniques, concretely, (i) differentially private stochastic gradient descent (DP-SGD) and (ii) fully…
• Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder
  10 Jul 2024 1 repository listed
  The results have demonstrated the effectiveness and generalization of PAMA in discriminative WSI representation learning and pan-cancer WSI pre-training.
• 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.
• A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
  21 Jun 2024 1 repository listed
  In this paper, we propose a novel model, which uses a novel attention mechanism to pinpoint the differences in features across the spatial dimensions and symmetry of the lesion, thereby focusing on the dissimilarities…
• Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
  20 Jun 2024 1 repository listed
  In this study, we propose a novel learning framework for clinically significant prostate cancer (csPCa) classification using multi-modality TRUS.
• Mitigating annotation shift in cancer classification using single image generative models
  30 May 2024 1 repository listed
  However, the success of AI applications in this domain is restricted by the quantity and quality of available data, posing challenges due to limited and costly data annotation procedures that often lead to annotation…
• AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
  7 May 2024 1 repository listed
  The DLCSD-mD model achieved an AUC of 0.
• Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
  7 May 2024 1 repository listed
  Lung and colon cancer are serious worldwide health challenges that require early and precise identification to reduce mortality risks.
• Leveraging Latents for Efficient Thermography Classification and Segmentation
  9 Apr 2024 1 repository listed
  In this work, we present a novel algorithm for both breast cancer classification and segmentation.
• Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner
  6 Apr 2024 1 repository listed
  This study presents a framework termed Evolutionary Optimized Diverse Ensemble Learning (EODE) to improve ensemble learning for cancer classification from gene expression data.

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.