Tumour Classification

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

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

9 shown of 9 papers with code (17 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.
• 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.
• Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
  6 Apr 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear.
• Brain tumour classification using BoF-SURF with filter-based feature selection methods
  19 Jan 2024 1 repository listed
  Currently, cancer is a global concern with a focus on reducing its incidence and advancing diagnostic techniques.
• Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach
  13 Apr 2023 1 repository listed
  Methods: This study used publicly available images of osteosarcoma cross-sections to analyze and compare the performance of state-of-the-art deep neural networks for histopathological evaluation of osteosarcomas.
• Genetic Analysis of Prostate Cancer with Computer Science Methods
  28 Mar 2023 1 repository listed
  Metastatic prostate cancer is one of the most common cancers in men.
• Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
  9 Feb 2023 1 repository listed
  Although some comparisons of CNNs and CV-CNNs for different tasks have been performed in the past, a large-scale investigation comparing different models operating on different tasks has not been conducted.
• Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
  10 Jun 2022 1 repository listed
  The models are trained by using the input image and only the classification labels as ground-truth in a supervised fashion - without using any information about the location of the region of interest (i.
• Classification of Brain Tumours in MR Images using Deep Spatiospatial Models
  28 May 2021 1 repository listed
  Finally, Pre-trained ResNet Mixed Convolution was observed to be the best model in these experiments, achieving a macro F1-score of 0.

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.