With the rise in computing power, deep-learning based computer-aided diagnosis systems have gained interest in medical research community. Our advanced AI system processes the images to assist doctors in order to identify whether the patients have nodules in lungs. Meanwhile, we utilized the weakly supervised learning based patching network to extend the receptive field on the convolutional kernel, which improved the performance on the small nodule detection with various locations in CXR. The weakly supervised learning mechanism also achieves the way of soft-annotation to reduce physician effort in medical image annotation.