Prognostic factors analysis of 17,600 melanoma patients: validation of the American Joint Committee on Cancer melanoma staging system
…, DG Coit, D Byrd, R Desmond, Y Zhang…�- Journal of clinical�…, 2001 - ascopubs.org
PURPOSE: The American Joint Committee on Cancer (AJCC) recently proposed major
revisions of the tumor-node-metastases (TNM) categories and stage groupings for cutaneous …
revisions of the tumor-node-metastases (TNM) categories and stage groupings for cutaneous …
[HTML][HTML] Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus
Rapeseed (Brassica napus) is the second most important oilseed crop in the world but the
genetic diversity underlying its massive phenotypic variations remains largely unexplored. …
genetic diversity underlying its massive phenotypic variations remains largely unexplored. …
Deep visual analogy-making
In addition to identifying the content within a single image, relating images and generating
related images are critical tasks for image understanding. Recently, deep convolutional …
related images are critical tasks for image understanding. Recently, deep convolutional …
Major ion chemistry and quality assessment of groundwater in and around a mountainous tourist town of China
P Li, Y Zhang, N Yang, L Jing, P Yu�- Exposure and Health, 2016 - Springer
Groundwater is widely used for various purposes over the world. To investigate the quality of
groundwater for domestic and agricultural purposes in a mountainous tourist town of China, …
groundwater for domestic and agricultural purposes in a mountainous tourist town of China, …
Accelerometer-based gait recognition by sparse representation of signature points with clusters
Gait, as a promising biometric for recognizing human identities, can be nonintrusively captured
as a series of acceleration signals using wearable or portable smart devices. It can be …
as a series of acceleration signals using wearable or portable smart devices. It can be …
Single sample face recognition via learning deep supervised autoencoders
This paper targets learning robust image representation for single training sample per person
face recognition. Motivated by the success of deep learning in image representation, we …
face recognition. Motivated by the success of deep learning in image representation, we …
Degradation of benzotriazole by a novel Fenton-like reaction with mesoporous Cu/MnO2: combination of adsorption and catalysis oxidation
Degradation of benzotriazole (BZA) as an emerging contaminant by a novel Fenton-like reaction
was investigated using a catalyst prepared by incorporating Cu into mesoporous MnO 2 …
was investigated using a catalyst prepared by incorporating Cu into mesoporous MnO 2 …
Unsupervised discovery of object landmarks as structural representations
Deep neural networks can model images with rich latent representations, but they cannot
naturally conceptualize structures of object categories in a human-perceptible way. This paper …
naturally conceptualize structures of object categories in a human-perceptible way. This paper …
Risk of bleeding with dabigatran in atrial fibrillation
Importance It remains unclear whether dabigatran etexilate mesylate is associated with higher
risk of bleeding than warfarin sodium in real-world clinical practice. Objective To compare …
risk of bleeding than warfarin sodium in real-world clinical practice. Objective To compare …
[HTML][HTML] Multifunctional gold nanoparticles: a novel nanomaterial for various medical applications and biological activities
X Hu, Y Zhang, T Ding, J Liu, H Zhao�- Frontiers in Bioengineering�…, 2020 - frontiersin.org
Nanotechnology has become a trending area in science and has made great advances with
the development of functional, engineered nanoparticles. Various metal nanoparticles have …
the development of functional, engineered nanoparticles. Various metal nanoparticles have …