Automated underwater object classification using optical imagery

PhD Thesis “Automated underwater object classification using optical imagery”   By Shihavuddin, A.S.M Supervised by Dr. Nuno Grácias, Dr. Rafael García   Abstract This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take months. Supervised automated classification of such datasets can save time and resources and can also enable extraction of valuable information related to marine and geological research.


Computer-aided lesion detection and segmentation on breast ultrasound

Doctoral thesis “Computer-aided lesion detection and segmentation on breast ultrasound”   By Gerard Pons Rodríguez. Supervised by Joan Martí Bonmatí, Robert Martí Marly.   Abstract This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of detecting, segmenting, and classifying breast abnormalities on sonography automatically. Firstly, an adaption of a generic object detection method, Deformable Part Models (DPM), to detect lesions in sonography is proposed. The method uses a machine learning technique to learn a model based on Histogram of Oriented…