The electrochemical biosensors are a class of biosensors which convert biological
information such as analyte concentration that is a biological recognition element (biochemical …

4D printing refers to single-material or multi-material printing of a device or object that can
be transformed from a 1D strand into pre-programed 3D shape, from a 2D surface into …

Sensors are considered to be an important vector for sustainable development. The demand
to meet the needs of future generations is accelerating the development of intelligent sensor…

In this work, we revisit the global average pooling layer proposed in [13], and shed light on
how it explicitly enables the convolutional neural network (CNN) to have remarkable …

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category
classification and detection on hundreds of object categories and millions of images. The …

Importance Application of deep learning algorithms to whole-slide pathology images can
potentially improve diagnostic accuracy and efficiency. Objective Assess the performance of …

Deep networks have been successfully applied to unsupervised feature learning for single
modalities (eg, text, images or audio). In this work, we propose a novel application of deep …

We propose a general framework called Network Dissection for quantifying the interpretability
of latent representations of CNNs by evaluating the alignment between individual hidden …

With the success of new computational architectures for visual processing, such as
convolutional neural networks (CNN) and access to image databases with millions of labeled …

The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate
computational systems for the automated detection of metastatic breast cancer in whole …