Medical Image Classification

46 papers with code • 1 benchmarks • 1 datasets

Video capsule endoscopy image classification

Most implemented papers

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

LeeJunHyun/Image_Segmentation 20 Feb 2018

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 respectively.

Contrastive Learning of Medical Visual Representations from Paired Images and Text

MicPie/clasp 2 Oct 2020

Learning visual representations of medical images is core to medical image understanding but its progress has been held back by the small size of hand-labeled datasets.

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Optimization-AI/LibAUC ICCV 2021

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 these medical image classification tasks.

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

iversonicter/Learn-to-pay-attention 22 Aug 2018

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.

Tensor Networks for Medical Image Classification

raghavian/loTeNet_pytorch MIDL 2019

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.

Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction

jiarunliu/co-correcting 11 Sep 2021

With the development of deep learning, medical image classification has been significantly improved.

Synthetic Medical Images from Dual Generative Adversarial Networks

HarshaVardhanVanama/Synthetic-Medical-Images 6 Sep 2017

Currently there is strong interest in data-driven approaches to medical image classification.

Capsule Networks against Medical Imaging Data Challenges

ameliajimenez/capsule-networks-medical-data-challenges 19 Jul 2018

A key component to the success of deep learning is the availability of massive amounts of training data.

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images

theidentity/Improved-GAN-PyTorch 19 Dec 2018

Supervised deep learning algorithms have enabled significant performance gains in medical image classification tasks.

Evolutionary Neural AutoML for Deep Learning

lucylow/Covid_Control 18 Feb 2019

However, the success of DNNs depends on the proper configuration of its architecture and hyperparameters.