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Article
Unsupervised non-rigid point cloud registration based on point-wise displacement learning
Registration of deformable objects is a fundamental prerequisite for many modern virtual reality and computer vision applications. However, due to the difficulties of acquiring labeled datasets and the inheren...
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Article
Open AccessCEMIP, acting as a scaffold protein for bridging GRAF1 and MIB1, promotes colorectal cancer metastasis via activating CDC42/MAPK pathway
Metastasis is the leading cause of treatment failure and tumor-related death in colorectal cancer (CRC). Our previous studies report that CEMIP functionally promotes CRC metastasis and is closely related to po...
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Article
Open AccessA dynamic predictive nomogram of long-term survival in primary gastric lymphoma: a retrospective study
Primary gastric lymphoma (PGL) is the most common extranodal non-Hodgkin lymphoma (NHL). Due to the rarity of the disease, it is important to create a predictive model that provides treatment and prognosis for...
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Article
CEMIP, a novel adaptor protein of OGT, promotes colorectal cancer metastasis through glutamine metabolic reprogramming via reciprocal regulation of β-catenin
Metastasis is the leading cause of colorectal cancer (CRC)-induced death. However, the underlying molecular mechanisms of CRC metastasis are poorly understood. Metabolic reprogramming is an intrinsic feature o...
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Article
Open AccessMeta-analysis and indirect treatment comparison of modified FOLFIRINOX and gemcitabine plus nab-paclitaxel as first-line chemotherapy in advanced pancreatic cancer
Modified FOLFIRINOX and gemcitabine plus nab-paclitaxel (GEM-NAB) have been recommended as first-line therapies for advanced pancreatic cancer (PC). Due to the lack of evidence to directly compare them, we con...
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Article
Open AccessNUMB suppression by miR-9-5P enhances CD44+ prostate cancer stem cell growth and metastasis
Experimental and clinical studies over the past two decades have provided overwhelming evidence that human cancers, including prostate cancer (PCa), harbor cancer stem cells (CSCs) that sustain tumor growth, d...
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Article
Open AccessWeight asynchronous update: Improving the diversity of filters in a deep convolutional network
Deep convolutional networks have obtained remarkable achievements on various visual tasks due to their strong ability to learn a variety of features. A well-trained deep convolutional network can be compressed...
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Article
Assessing Drought Conditions in Cloudy Regions Using Reconstructed Land Surface Temperature
Temperature vegetation dryness index (TVDI) in a triangular or trapezoidal feature space can be calculated from the land surface temperature (LST) and normalized difference vegetation index (NDVI), and has bee...
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Article
Open AccessValidation and modification of staging Systems for Poorly Differentiated Pancreatic Neuroendocrine Carcinoma
The American Joint Committee on Cancer (AJCC) and the European Neuroendocrine Tumor Society (ENETS) staging classifications are two broadly used systems for pancreatic neuroendocrine tumors. This study aims to...
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Article
Part-based visual tracking with spatially regularized correlation filters
Discriminative Correlation Filters (DCFs) have demonstrated excellent performance in visual object tracking. These methods utilize a periodic assumption of the training samples to efficiently learn a classifie...
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Chapter and Conference Paper
Human Action Recognition Based on Dual Correlation Network
Learning to capture long-range relations is essential for video recognition. Modern deep learning systems capture spatio-temporal correlation via 3D CNNs. However, it is highly inefficient. In this work, we pr...
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Chapter and Conference Paper
Urban Road Water Recognition Based on Deep Learning
The urban road water recognition algorithm based on deep learning can achieve the automatic recognition of road water and timely report to relevant departments, thereby eliminating traffic accidents and road c...
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Chapter and Conference Paper
Breeding Pig’s Butt Detection Based on SSD
The experts can analyze much useful information from the breeding pig’s buttock. Nowadays, with the rapid development of information technology and computer vision, image feature engineering can also extract t...
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Chapter and Conference Paper
Spatio-Temporal Action Localization for Pedestrian Action Detection
Current state-of-the-art temporal action detection methods are focused on untrimmed, multi-target videos. As popularized in the object detection framework, these methods perform classification on action class ...
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Chapter and Conference Paper
Development of Raspberry Pi Based Experimental Device for High-Precision Size Measurement
With the rapid development of production, computer science and information technology, increasing occasions require real-time image acquisition systems. This research develops a size measurement experimental d...
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Article
KIAA1199 promotes metastasis of colorectal cancer cells via microtubule destabilization regulated by a PP2A/stathmin pathway
Tumor metastasis is the main cause of death in advanced colorectal cancer. Our previous research showed that upregulation of KIAA1199 predicted poorer outcomes, and promoted cell motility and tumor metastasis ...
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Article
Open AccessAttention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification
Recurrent neural network (RNN)is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable per...
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Chapter and Conference Paper
Survey on Deep Learning for Human Action Recognition
Human action recognition has gained popularity because of its worldwide applications such as video surveillance, video retrieval and human–computer interaction. This paper provides a comprehensive overview of ...
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Article
Open AccessComplete pathological response following neoadjuvant FOLFOX chemotherapy in BRCA2-mutant locally advanced rectal cancer: a case report
Patients with locally advanced rectal cancer (LARC) achieving a pathological complete response (pCR) to neoadjuvant treatment usually have a good prognosis, but only accounted for less than 20%.
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Chapter and Conference Paper
Visual-Based Character Embedding via Principal Component Analysis
Most dense word embedding methods are based on statistics and semantic information currently. However, for hieroglyphs, these methods ignore the visual information underlaid in the characters, moreover this vi...
