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Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potentialExpand
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Reversible watermarking scheme for medical image based on differential evolution
TLDR
A reversible watermarking method is proposed with wavelet transforms and SVD.Good balance of imperceptibility, robustness and capacity is obtained by DE. Expand
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Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks
TLDR
We present a robust and efficient approach to automatically locating and identifying vertebrae in 3D CT volumes by exploiting high level feature representations with deep convolutional neural network CNN. Expand
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Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
  • Hao Chen, Dong Ni, +4 authors P. Heng
  • Computer Science, Medicine
  • IEEE Journal of Biomedical and Health Informatics
  • 21 April 2015
TLDR
We present a learning-based approach to locate the fetal abdominal standard plane (FASP) in US videos by constructing a domain transferred deep convolutional neural network (CNN). Expand
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Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
TLDR
We propose a novel knowledge transferred recurrent neural network T-RNN, which incorporates a deep hierarchical visual feature extractor and a temporal sequence learning model. Expand
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Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT
  • Dong Ni, Y. Chui, +5 authors P. Heng
  • Computer Science, Medicine
  • Comput. Medical Imaging Graph.
  • 1 October 2009
TLDR
An improved three-dimensional scale invariant feature transform (SIFT) algorithm to globally register ultrasound volumes acquired from dedicated ultrasound probe, where local deformations are corrected by block-based warping algorithm. Expand
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Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound
TLDR
We propose the first and fully automatic framework to simultaneously segment multiple anatomical structures with intensive clinical interest, including fetus, gestational sac, and placenta, which remains a rarely studied and arduous challenge. Expand
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Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration
  • Y. Wang, J. Cheng, +6 authors P. Heng
  • Medicine, Computer Science
  • IEEE Transactions on Medical Imaging
  • 1 February 2016
TLDR
We propose a personalized model-to-surface registration method for the MR-TRUS prostate images that can be more robust to low image quality and high diversity of tissue parameters. Expand
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Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning
TLDR
In this paper, a multiscale convolutional network (MSCN) and graph-partitioning-based method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Expand
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Downregulation of FOXO3a Promotes Tumor Metastasis and Is Associated with Metastasis-Free Survival of Patients with Clear Cell Renal Cell Carcinoma
Purpose: To explore the mechanisms underlying clear-cell renal cell carcinoma (ccRCC) metastasis using transcriptional profiling and bioinformatics analysis of ccRCC samples, and to elucidate theExpand
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