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Greatest papers with code

Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

12 Mar 2018mikevoets/jama16-retina-replication

We have attempted to replicate the main method in 'Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs' published in JAMA 2016; 316(22).

DIABETIC RETINOPATHY DETECTION MEDICAL IMAGE SEGMENTATION MITOSIS DETECTION

3D Self-Supervised Methods for Medical Imaging

NeurIPS 2020 HealthML/self-supervised-3d-tasks

Self-supervised learning methods have witnessed a recent surge of interest after proving successful in multiple application fields.

BRAIN TUMOR SEGMENTATION DIABETIC RETINOPATHY DETECTION SELF-SUPERVISED LEARNING TUMOR SEGMENTATION

Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation

21 Jan 2019kundajelab/abstention

Label shift refers to the phenomenon where the prior class probability p(y) changes between the training and test distributions, while the conditional probability p(x|y) stays fixed.

DIABETIC RETINOPATHY DETECTION DOMAIN ADAPTATION IMAGE CLASSIFICATION MEDICAL DIAGNOSIS

O-MedAL: Online Active Deep Learning for Medical Image Analysis

28 Aug 2019adgaudio/O-MedAL

Our online method enhances performance of its underlying baseline deep network.

ACTIVE LEARNING DIABETIC RETINOPATHY DETECTION

Deep Learning Approach to Diabetic Retinopathy Detection

3 Mar 2020debayanmitra1993-data/Blindness-Detection-Diabetic-Retinopathy-

In this paper, we propose an automatic deep-learning-based method for stage detection of diabetic retinopathy by single photography of the human fundus.

DIABETIC RETINOPATHY DETECTION TRANSFER LEARNING

Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset

17 May 2019ShubhayanS/Multiclass-Diabetic-Retinopathy-Detection

Annotated training data insufficiency remains to be one of the challenges of applying deep learning in medical data classification problems.

DIABETIC RETINOPATHY DETECTION IMAGE CLASSIFICATION OBJECT RECOGNITION TRANSFER LEARNING