Medical imaging has become an increasingly critical step in modern healthcare diagnostics and procedures. Accurate representations of medical images plays an important role in early detection, monitoring, diagnosis and follow-up therapy. Deep learning algorithms, in particular convolutional neural networks(CNNs), have been widely employed for analysing medical images. While CNNs shows the capabilities to solve challenging tasks such as classification, segmentation and object detection, there remain several challenges towards medical image analysis due to the shortage of training data, class imbalance, time consuming and expensive annotation.This thesis presents a series of interdisciplinary researches at deep learning and medical image anal...
The purpose of this research is to develop new optical models and methods based on digital holograph...
Spontaneous intracerebral haemorrhage (ICH) is one of the most lethal forms of stroke and has a rela...
Generative image inpainting means generating contextually consistent content for missing regions in ...
Advancements of deep neural networks (DNNs) carry great potential to make significant contributions ...
M.Phil.Supervised and unsupervised automatic brain structure segmentation play pivotal roles in diag...
Ph.D.The annotated data provided by experienced experts is at the core of AI-powered automatic medic...
Correspondence, which describes how pixels in one image correspond to those of another, is a fundame...
Ph.D.With the advance of next-generation sequencing, patient’s genome and transcriptome can be profi...
The AI-powered automatic medical image analysis (MIA) with deep learning shows a significant impact,...
Pushing the integrated circuit (IC) technology node to extreme brings in daunting challenges for the...
Medical image analysis is a critical step for disease diagnosis and follow-up treatments. Advanced m...
中文摘要 在最近十年中,電腦視覺的研究取得相當大的進步並對我們的生活造成顯著 的影響。藉由大數據分析和機器學習的演算法為基礎,許多智慧型的裝置被開發 出來。舉Google Glass 為例子,這個穿戴...
With disease progression, human bodies go through a series of changes, causing the aberrations in om...
Automatic medical image and video analysis have been widely adopted in a variety of clinical workflo...
Ph.D.Pixel-level image understanding and synthesis are very important problems in computer vision si...
The purpose of this research is to develop new optical models and methods based on digital holograph...
Spontaneous intracerebral haemorrhage (ICH) is one of the most lethal forms of stroke and has a rela...
Generative image inpainting means generating contextually consistent content for missing regions in ...
Advancements of deep neural networks (DNNs) carry great potential to make significant contributions ...
M.Phil.Supervised and unsupervised automatic brain structure segmentation play pivotal roles in diag...
Ph.D.The annotated data provided by experienced experts is at the core of AI-powered automatic medic...
Correspondence, which describes how pixels in one image correspond to those of another, is a fundame...
Ph.D.With the advance of next-generation sequencing, patient’s genome and transcriptome can be profi...
The AI-powered automatic medical image analysis (MIA) with deep learning shows a significant impact,...
Pushing the integrated circuit (IC) technology node to extreme brings in daunting challenges for the...
Medical image analysis is a critical step for disease diagnosis and follow-up treatments. Advanced m...
中文摘要 在最近十年中,電腦視覺的研究取得相當大的進步並對我們的生活造成顯著 的影響。藉由大數據分析和機器學習的演算法為基礎,許多智慧型的裝置被開發 出來。舉Google Glass 為例子,這個穿戴...
With disease progression, human bodies go through a series of changes, causing the aberrations in om...
Automatic medical image and video analysis have been widely adopted in a variety of clinical workflo...
Ph.D.Pixel-level image understanding and synthesis are very important problems in computer vision si...
The purpose of this research is to develop new optical models and methods based on digital holograph...
Spontaneous intracerebral haemorrhage (ICH) is one of the most lethal forms of stroke and has a rela...
Generative image inpainting means generating contextually consistent content for missing regions in ...