This work was published as a demo paper at SIGIR2020.
Read the paper here.
Entity linking is a standard component in modern retrieval systems that is often performed by third-party toolkits. Despite the plethora of open source options, it is difficult to find a single system that has a …
more ...This work was published as an extended abstract for the IWBI2020 workshop. It was carried out during a three month MSc internship at Screenpoint Medical under supervision of Jaap Kroes and Michiel Kallenberg.
Read the paper here. See the presentation here (2nd presentation in session).
Semantic segmentation of breast …
more ...This work was published as a full paper for the SIIRH2020 workshop at ECIR2020.
Read the paper here. See the presentation here.
Nowadays, clinical patients are often free to access their own electronic health records (EHRs) online. Medical records are however not written with the patient in mind -- the …
more ...This is work done during my MSc thesis internship at Radboudumc, together with Wouter Bulten and Geert Litjens. Our paper was published at MIDL2019 as an extended abstract.
Read the paper here.
Large amounts of unlabelled data are commonplace for many applications in computational pathology, whereas labelled data is …
more ...Autoencoders are used to learn efficient data encodings in an unsupervised manner. When using image data, autoencoders are normally trained by minimizing their reconstruction error (typically the mean squared error or MSE) in an identity mapping task. The error then represents the difference between the input image and the reconstruction …
more ...Recently I've been working on a multilabel classification problem that was evaluated using micro-averaged F1 score. In this post I will show one approach to optimizing the thresholding of probabilistic classifiers by means of a toy problem. Some assumptions have been made to simplify the explanation, but the general approach …
more ...In my recent experimenting with Keras I decided to try my hand at the classical handwritten digit dataset MNIST. MNIST ("Modified National Institute of Standards and Technology") is considered the standard "hello world" dataset of computer vision. The Digit Recognizer Kaggle competition tasks us with correctly identifying images of handwritten …
more ...Installing CUDA and related frameworks on unsupported systems can be quite the hassle. In this post I will detail my findings that eventually led to succesfully installing CUDA 9.1 and cuDNN 7.0.5 on Debian Buster using GCC 7.3.0. I also built Tensorflow 1.5 for …
more ...I have struggled with project directory structure for Python projects in the past. Some things (like relative imports in projects containing multiple modules in different folders) are not immediately clear to most people, which is why I'm posting a concise little write-up of my knowledge on the topic so far …
more ...This post proposes an idea for rating the performance of a fuzzy binary classifier (yes, I made that name up myself). A friend asked me if I knew of a way to measure accuracy for a classifier that predicted the emotion showed by pictures of human faces with a probability …
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