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Medical Diagnosis

11 papers with code · Medical

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Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

26 Mar 2020asmaa4may/DeTraC_COVId19

Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks (CNNs) for image recognition and classification.

MEDICAL DIAGNOSIS OBJECT RECOGNITION TRANSFER LEARNING

3
26 Mar 2020

Representation Learning for Medical Data

22 Jan 2020KarolAntczak/multimetapath2vec

We propose a representation learning framework for medical diagnosis domain.

DISEASE PREDICTION MEDICAL DIAGNOSIS REPRESENTATION LEARNING

1
22 Jan 2020

Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis

3 Sep 2019koriavinash1/BioExp

In this paper, we explore various techniques to explain the functional organization of brain tumor segmentation models and to extract visualizations of internal concepts to understand how these networks achieve highly accurate tumor segmentations.

BRAIN TUMOR SEGMENTATION MEDICAL DIAGNOSIS

5
03 Sep 2019

AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data

3 Jul 2019Zeyuan-Wang/AMI-Netv2

In medical real-world study (RWS), how to fully utilize the fragmentary and scarce information in model training to generate the solid diagnosis results is a challenging task.

MEDICAL DIAGNOSIS

1
03 Jul 2019

Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data

9 Apr 2019Zeyuan-Wang/AMI-Net

However, in many real-world cases, data is often of low-quality due to a variety of reasons, such as data consistency, integrity, completeness, accuracy, etc.

MEDICAL DIAGNOSIS

0
09 Apr 2019

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

ICLR 2020 iclr2020-apd/anonymous_iclr2020_apd_code

First, a continual learning model should effectively handle catastrophic forgetting and be efficient to train even with a large number of tasks.

CONTINUAL LEARNING MEDICAL DIAGNOSIS

1
25 Feb 2019

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

21 Jan 2019kundajelab/abstention

Given estimates of p(y|x) from a predictive model, Saerens et al. (2002) proposed an efficient EM algorithm to correct for label shift that does not require model retraining.

CALIBRATION DIABETIC RETINOPATHY DETECTION DOMAIN ADAPTATION IMAGE CLASSIFICATION MEDICAL DIAGNOSIS

9
21 Jan 2019

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation

31 May 2018jimmyyhwu/ddsm-visual-primitives

We propose DeepMiner, a framework to discover interpretable representations in deep neural networks and to build explanations for medical predictions.

MEDICAL DIAGNOSIS

18
31 May 2018