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Medical Diagnosis

10 papers with code · Medical

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Multi-layer Representation Learning for Medical Concepts

17 Feb 2016mp2893/med2vec

Learning efficient representations for concepts has been proven to be an important basis for many applications such as machine translation or document classification.

DOCUMENT CLASSIFICATION MACHINE TRANSLATION MEDICAL DIAGNOSIS REPRESENTATION LEARNING

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

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

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

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

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

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

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