Medical Image Segmentation
background

Medical image processing is one the hottest AI techniques in the healthcare domain. The underlying idea is to use the advance computer vision, statistical and machine learning algorithms to extract information from various types of medical images (X-rays, CT, MRT, etc.) and present it a human-readable format for further estimation by medical professionals.

business challenges

We were commissioned to develop an algorithm for medical image segmentation to enable an automatic phenotypes detection.


value delivered

We have successfully developed models for various image processing tasks (segmentation, detection, classification, etc.). All models were wrapped with a user-friendly API. The customer was also provided with a clear code documentation and a report with the experiment details and the results analysis.


approach

To fulfill the task, we have used the advanced computer vision and machine learning algorithms for image processing and recognition including rescaling, normalization, cascade filtering, convolutional neural networks, deep learning, etc. Highly trained medical professionals have analyzed and validated the algorithms results. Additionally, we have received a feedback on the nature and the importance of errors, which might also improve the system performance from medical and business perspective.


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our expertise in

AI technologies

data mining

PCA
K-means
Decision trees
Linear models
PageRank

digital signal processing

Digital filters
DTW

machine learning

Deep learning
Probabilistic graphical models
CART
ensembles
unsupervised sound segmentation
recurrent models
bayesian approach
probabilistic programming
hmm

image processing and
computer vision

alexnet
vgg
vae

natural language
processing

PCA
TF-IDF
LDA
SVM
Naive bayes
word2vec
attention models

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contact us


about us

Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.