Disease Detection

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  AutoDiscern-Rating the Quality of Online Health Information with Hierarchical Encoder Attention-Based Neural Networks

  • Published on: May, 2020
  • Michael Krauthammer, Ahmed Allam, Laura Kinkead
  • Code Available

  A huge amount of medical information is available online and people refer to it before consulting a health professional. The information may not be r ...

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  CT Based COVID-19 triage Deep multitask learning improves joint identification and severity quantification

  • Published on: March, 2021
  • MikhailGoncharov, MaximPisov
  • Code Available

  Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science problem ...

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  MRI Brain Tumor Segmentation and Uncertainty Estimation using 3D-UNet Architectures

  • Published on: September, 2020
  • Veronica Vilaplana, Laura Mora Ballestar
  • Code Available

  Convolutional neural networks have shown significant results in brain tumor segmentation. Automation of brain tumor segmentation can be very useful fo ...

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  Cardiologist-level Arrhythmia Detection and Classification in Ambulatory Electrocardiograms Using A Deep Neural Network

  • Published on: July, 2017
  • Masoumeh Haghpanahi, Awni Y. Hannun, Codie Bourn, Pranav Rajpurkar, Andrew Y. Ng
  • Code Available

  Arrhythmia is a condition of improper heart beating, which is diagnosed with help of electrocardiograms(ECG ). In this model an algorithm is applied w ...

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  Using Machine Learning of Clinical Data to Diagnose COVID-19-A Systematic Review and Meta-analysis

  • Published on: September, 2020
  • Wei Tse Li, Jiayan Ma, Grant Castaneda et al., Neil Shende
  • Code Available

  The model is designed to predict whether a patient has Covid-19 or influenza based on clinical data. Testing patient rapidly for Covid-19 is a key ste ...

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  TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

  • Published on: March, 2021
  • Wenxuan Wang, Hong Yu, Jiangyun Li, Chen Chen, Meng Ding, Sen Zha
  • Code Available

  TransBTS: Multimodal Brain Tumor Segmentation Using Transformer presents a novel segmentation framework that effectively incorporates Transformer in 3 ...

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  Image Analytics for Lung Cancer Risk Quantification

  • Published on: September, 2018
  • CitiusTech

  This is a deep learning based model that can quantify patient’s risk of suffering from lung cancer and has ability to improve accuracy of cancer detec ...

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  Dermatologist-level classification of skin cancer with deep neural networks

  • Published on: January, 2017
  • Justin Ko, Helen M. Blau, Roberto A. Novoa, Sebastian Thrun, Susan M. Swetter, Andre Esteva, Brett Kuprel
  • Code Available

  Skin cancer, the most common human malignancy, is diagnosed mainly visually, with an initial clinical screening accompanied by dermoscopic diagnosis, ...

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  3D MRI brain tumor segmentation using autoencoder regularization

  • Published on: October, 2018
  • Andriy Myronenko
  • Code Available

  Brain tumor segmentation model is an automated solution for detecting Brain tumors from 3D MRI data.This model needs less time, is less expensive and ...

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  Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an Insilico Imaging Trial

  • Published on: November, 2018
  • Andreu Badal, Christian G. Graff, Diksha Sharma, Aldo Badano
  • Code Available

  Clinical trials are expensive and delay the regulatory evaluation and early patient access to novel devices. In order to demonstrate an alternative ap ...