2 documents found, page 1 of 1
Comparative analysis of current deep learning networks for breast lesion segmen...
Ferreira, Margarida R.; Torres, Helena R.; Oliveira, Bruno; Fonseca, João Luís Gomes; Morais, Pedro André Gonçalves; Novais, Paulo; Vilaca, Joao L.Automatic lesion segmentation in breast ultrasound (BUS) images aids in the diagnosis of breast cancer, the most common type of cancer in women. Accurate lesion segmentation in ultrasound images is a challenging task due to speckle noise, artifacts, shadows, and lesion variability in size and shape. Recently, convolutional neural networks have demonstrated impressive results in medical image segmentation tasks....
Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces
Torres, Helena R.; Oliveira, Bruno; Queiros, Sandro; Morais, Pedro; Fonseca, Jaime C.; D'hooge, Jan; Rodrigues, Nuno F.; Vilaca, Joao L.In this manuscript, we propose to adapt the B-Spline Explicit Active Surfaces (BEAS) framework for semi-automatic kidney segmentation in computed tomography (CT) images. To study the best energy functional for kidney CT extraction, three different localized region-based energies were implemented within the BEAS framework, namely localized Chan-Vese, localized Yezzi, and signed localized Yezzi energies. Moreover...