Fatima-Zahra El Barche Email & Phone Number

Paris, Fr

Clermont-Ferrand, Auvergne-Rhône-Alpes, France

Brest, Brittany, France

Brest, Brittany, France

Rabat, Rabat-Salé-Kenitra, Morocco

Amniotic fluid segmentation in 2D ultrasound images with deep learning - Literature survey

Nice, Provence-Alpes-Cote D'Azur, France

Uveitis is an auto-immune disease that induces retina inflammation. Early prognostic is importantto avoid long-term visual deficiency. In this project, we consider OCT (Optical Coherence Tomography)images to test the ability of convolutional neural networks (CNN) to detect uveitis from such images,Bristol University has collected a dataset of mouse eyes images. The dataset contains wild type retina(WT) and retina affected by Uveitis respectively 2, 7, and 14 days after the disease injection. Each dataset is a 3D volume where only part of the slices may be affected by the disease. We consider the classification on 2D slices after removing those that are not concerned by the disease. After testing several CNN we have retained the VGC16 architecture to perform a binary classification between wild type and affected mice. We obtained an accuracy of 98% between WT and day 14, 97% between WT and day 7 and only 68% between WT and day 2. This first study thus shows that a satisfactory detection of the uveitis canbe obtained after 7 days. To reduce this delay we plan to consider a GAN like approach for "predicting"image after 7 day from an image after 2 days and thus expect to improve the classification after 2 days.Unfortunately, images of the same retina cannot be obtained both after 2 and 7 days. We therefore have considered cycleGAN networks. The first results are encouraging.

Rabat, Rabat-Salé-Kenitra, Morocco

Bioinformatics analysis relating to genome assembly and mapping

Doctor Of Philosophy - Phd

Master'S Degree, Bioinformatics, Graduated With Highest Honors.

Bachelor'S Degree, Mathematics And Computer Science

University Degree Of Technology (Dut), Software Engineering