Cancer Classification
47 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Cancer Classification
Most implemented papers
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
The training procedure of OmiVAE is comprised of an unsupervised phase without the classifier and a supervised phase with the classifier.
Skin Lesion Synthesis with Generative Adversarial Networks
alceubissoto/gan-skin-lesion
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Skin cancer is by far the most common type of cancer.
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images
The pipeline consists of fully convolutional regression-based nucleus detection, followed by per-cell focus selection, and CNN based classification.
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
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.
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Deep learning approaches to breast cancer detection in mammograms have recently shown promising results.
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches.
Adversarial Augmentation for Enhancing Classification of Mammography Images
Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging.
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Several DL architectures have been proposed for classification, segmentation, and detection tasks in medical imaging and computational pathology.
Deep neural network or dermatologist?
KyleYoung1997/DNNorDermatologist
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We show that despite high accuracy, the models will occasionally assign importance to features that are not relevant to the diagnostic task.
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images
Cervical cancer will cause 460 000 deaths per year by 2040, approximately 90% are Sub-Saharan African women.
