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07/01/2021
DivergentNets: Medical Image Segmentation by Network Ensemble
Detection of colon polyps has become a trending topic in the intersectin...
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06/29/2021
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
Processing medical data to find abnormalities is a time-consuming and co...
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06/06/2021
Few-shot segmentation of medical images based on meta-learning with implicit gradients
Classical supervised methods commonly used often suffer from the require...
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12/14/2020
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus
Segmentation of findings in the gastrointestinal tract is a challenging ...
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05/08/2020
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Precise and efficient automated identification of Gastrointestinal (GI) ...
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11/08/2019
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis
In this paper, we present a two-step deep learning method that is used t...
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11/08/2019
Stacked dense optical flows and dropout layers to predict sperm motility and morphology
In this paper, we analyse two deep learning methods to predict sperm mot...
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10/29/2019
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Methods for automatic analysis of clinical data are usually targeted tow...
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11/26/2018
An optimized Parallel Failure-less Aho-Corasick algorithm for DNA sequence matching
The Aho-Corasick algorithm is multiple patterns searching algorithm runn...
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10/31/2018
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning
In this paper, we present our approach for the 2018 Medico Task classify...
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10/09/2018
