2 documents found, page 1 of 1
Deep learning networks for breast lesion classification in ultrasound images: a...
Ferreira, Margarida R.; Torres, Helena R.; Oliveira, Bruno; Araújo, Augusto R. V. F. de; Morais, Pedro; Novais, Paulo; Vilaça, João L.Accurate lesion classification as benign or malignant in breast ultrasound (BUS) images is a critical task that requires experienced radiologists and has many challenges, such as poor image quality, artifacts, and high lesion variability. Thus, automatic lesion classification may aid professionals in breast cancer diagnosis. In this scope, computer-aided diagnosis systems have been proposed to assist in medical...
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....