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Machine learning algorithm for classification of breast ultrasound images

Breast cancer is the most common type of cancer globally. Early detection is important for reducing the morbidity and mortality of breast cancer. The aim of this study was to evaluate the performance of different machine learning models to classify malignant or benign lesions on breast ultrasound images. Three different convolutional neural network approaches were implemented: (a) Simple convoluti

Experimental Investigations of Heat Transfer in a Channel with Ribs and Obstacle

This thesis presents experimental investigations of local heat transfer in a rectangular channel (aspect ratio AR = 4) with continuous transverse ribs as well as an obstacle. Liquid crystal thermography (LCT) is employed to obtain the temperature fields in the heat transfer experiments. The liquid crystal applied here has a red start at 35°C and a bandwidth of 1°C. The work consists of (1) periodi