Surgical treatment of male breast cancer metastasis to thoracic spine: A case report.

Purpose: We present a rare clinical case of a metastatic spinal tumor in the 7th thoracic spine from male breast cancer (MBC).

Method: A 62-year-old man was referred as an outpatient, complaining of continuous pain in the back and right flank that began 2 weeks earlier. The patient had no neurologic signs or symptoms but had a medical history of left breast modified radical mastectomy because of MBC.

Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks.

Catastrophic forgetting, which means a rapid forgetting of learned representations while learning new data/samples, is one of the main problems of deep neural networks. In this paper, we propose a novel incremental learning framework that can address the forgetting problem by learning new incoming data in an online manner. We develop a new incremental learning framework that can learn extra data or new classes with less catastrophic forgetting.

Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.

Deep learning has received significant attention recently as a promising solution to many problems in the area of artificial intelligence. Among several deep learning architectures, convolutional neural networks (CNNs) demonstrate superior performance when compared to other machine learning methods in the applications of object detection and recognition. We use a CNN for image enhancement and the detection of driving lanes on motorways.