research
∙
07/01/2021
DivergentNets: Medical Image Segmentation by Network Ensemble
Detection of colon polyps has become a trending topic in the intersectin...
share
research
∙
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...
research
∙
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...
research
∙
12/14/2020
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus
Segmentation of findings in the gastrointestinal tract is a challenging ...
research
∙
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) ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
10/09/2018