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diagnostic Classification of Lung Cancer Using Deep Transfer Learning Technology and Multi-Omics Data

Chinese Journal of Electronics 2021年第5期30卷 843-852页

作者： ZHU Rong DAI Lingyun LIU Jinxing GUO Ying School of Computer Science Qufu Normal University School of Automation Central South University

In recent years, with the increasing application of highthroughput sequencing technology,researchers have obtained and accumulated a large amount of multi-omics data, making it possible to diagnose cancer at the gene expression level. The proliferation of various omics data can provide a large amount of biological information, which brings new opportunities and great challenges as well to cancer classification and *** learning algorithms for early diagnosis of lung cancer have emerged that distinguish cancers of the early and late stages by using genomic features. Omics data are generally characterized with low sample size,high dimensionality and high noise. Therefore, simple direct application of common classification methods cannot achieve better performance and must be improved in a targeted manner. This paper puts forward a combined convolutional neural network and convolutional autoencoders approach to construct a deep migratory learning classification model for early lung cancer diagnosis. First,the convolutional auto-encoders algorithm is used to reduce the dimensionality of the dataset in order to make it better meet the requirements of migration ***, a neural network model is constructed with the original dataset and the existing labeled dataset, and the model migration rules are set as well. Finally, a small number of labeled target datasets are used in the training to complete the construction of the classification *** proposed convolutional neural network method based on model migration and five other popular machine learning models are used to classify and predict the three lung cancer gene datasets and the integrated *** experimental results show that such four evaluation metrics as accuracy, precision, recall, and f1-score with our proposed method have obtained better prediction performance, and the average area under curve result also shows our proposed method is optimal.

关键词： machine learning models early stages genetics lung image classification convolutional autoencoder approach patient diagnosis genomics cancer cancer classification labeled target datasets late stages gene expression level image coding multiomics data deep learning (artificial intelligence) diagnostic classification early diagnosis omics data lung cancer diagnosis convolutional neural network method bioinformatics combined convolutional neural network model migration rules migration learning integrated dataset deep migratory learning classification model machine learning algorithms lung cancer gene datasets high-throughput sequencing technology deep transfer learning technology diagnostic radiography

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Improving depth resolution of diffuse optical tomography with an exponential adjustment method based on maximum singular value of layered sensitivity

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Chinese Optics Letters 2008年第12期6卷 886-888页

作者：牛海晶郭平宋晓东蒋田仔 Image Processing and Pattern Recognition Laboratory Beijing Normal University School of Computer Science and Technology Beijing Institute of Technology School of Aerospace Science and Engineering Beijing Institute of Technology National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences

The sensitivity of diffuse optical tomography （DOT） imaging exponentially decreases with the increase of photon penetration depth, which leads to a poor depth resolution for DOT. In this letter, an exponential adjustment method （EAM） based on maximum singular value of layered sensitivity is proposed. Optimal depth resolution can be achieved by compensating the reduced sensitivity in the deep medium. Simulations are performed using a semi-infinite model and the simulation results show that the EAM method can substantially improve the depth resolution of deeply embedded objects in the medium. Consequently, the image quality and the reconstruction accuracy for these objects have been largely improved.

关键词： diagnostic radiography Electroabsorption modulators Image quality Light absorption Medical imaging Optical tomography

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In vitro birefringence imaging with spectral domain polarization-sensitive optical coherence tomography

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Chinese Optics Letters 2008年第12期6卷 905-909页

作者：龚强范传茂张帆姚建铨 Key Laboratory of Optoelectric Information Science and Technology Ministry of Education Tianjin University Institute of Laser and Optoelectronics College of Precision Instrument and Optoelectronics EngineeringTianjin University

Spectral domain polarization-sensitive optical coherence tomography （SDPS-OCT） is a depth-resolved polarization-sensitive interferometry which integrates polarization optics into spectral domain optical co- herence tomography （SD-OCT）. This configuration can obtain birefringence information of samples and improve the imaging speed. In this paper, horizontally polarized light is used to replace natural light of the source. Then, right-rotated circularly polarized light is the incident sample light. To obtain two orthogonal components of the polarized interferogram, the reflected light of the reference arm is set to be 45° linearly polarized light. These two components are acquired by two spectrometers synchronously. The system was employed to achieve 12.8μm axial resolution and 4.36μm transverse resolution. We have imaged in vitro chicken tendon and muscle tissues with these svstem.

关键词： Birefringence Capillary flow Coherent light diagnostic radiography Interferometry Light polarization Medical imaging Optical properties Optical tomography Polarization Strain measurement Tendons Tomography

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Fast Monte Carlo inversion for extracting the optical properties of tubular tissues

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Chinese Optics Letters 2008年第12期6卷 935-937页

作者：赵会娟周晓青梁菊兰张顺起 College of Precision Instruments and Optoelectronics Engineering Tianjin University

Reconstruction of absorption coefficient μa and scattering coefficient μs is very important for applications of diffuse optical tomography and near infrared spectroscopy. Aiming at the early cancer detection of cervix and stomach, we present a fast inverse Monte-Carlo scheme for extracting μa and μs of a tubular tissue from the measurement on frequency domain. Results show that the computation time for reconstructing one set of μa and μs is less than 1 min and the relative errors in reconstruction are less than ±10% for the optical properties of normal cervical tissue and precancerous lesions.

关键词： diagnostic radiography Infrared spectroscopy Medical imaging Monte Carlo methods Optical properties Optical tomography Restoration Spectroscopic analysis Tomography

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Measurement of crater geometries after laser ablation of bone tissue with optical coherence tomography

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Chinese Optics Letters 2008年第12期6卷 896-898页

作者：詹振林张先增叶青谢树森 Key Laboratory of Opto-Electronic Science and Technology for Medicine of Ministry of Education Fujian Normal University Department of Otolaryngology Fujian Provincial Hospital Fuzhou 350001 provincial Clinical College of Fujian Medical University

The feasibility of measuring crater geometries by use of optical coherence tomography （OCT） is examined. Bovine shank bone on a motorized translation stage with a motion velocity of 3 mm/s is ablated with a pulsed CO2 laser in vitro. The laser pulse repetition rate is 60 Hz and the spot size on the tissue surface is 0.5 mm. Crater geometries are evaluated immediately by both OCT and histology methods after laser irradiation. The results reveal that OCT is capable of measuring crater geometries rapidly and noninvasively as compared to histology. There are good correlation and agreement between crater depth estimates obtained by two techniques, whereas there exists distinct difference between crater width estimates when the carbonization at the sides of craters is not removed.

关键词： Ablation Biological radiation effects Bone Carbon dioxide Carbonization Coherent light diagnostic radiography Geometry Histology Laser ablation Lasers Medical imaging Optical systems Optical tomography Tomography

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Spectral calibration in spectral domain optical coherence tomography

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Chinese Optics Letters 2008年第12期6卷 902-904页

作者：王凯丁志华 State Key Lab of Modern Optical Instrumentation Zhejiang University

A novel spectral calibration method is developed for spectral domain optical coherence tomography system. The method is based on two measurements of interference spectra from two reference mirror positions. It removes the influence of dispersion mismatch, and hence accurately determines the spectral distribution on the line-scan charge-coupled device （CCD） for sequent precise interpolation. High quality imaging can be realized with this method. Elimination of the degradation effect caused by dispersion mismatch is verified experimentally, and improved two-dimensional （2D） imaging of fresh orange pulp based on the proposed spectral calibration method is demonstrated.

关键词： Calibration Charge coupled devices diagnostic radiography Medical imaging Optical tomography Photodegradation Strain measurement Tomography

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Experimental validation for time-domain fluorescence diffuse optical tomography of linear scheme

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Chinese Optics Letters 2008年第12期6卷 889-892页

作者：高峰张丽敏李娇赵会娟 College of Precision Instrument and Optoeletronics Engineering Tianjin University

We present a full three-dimensional, featured-data algorithm for time-domain fluorescence diffuse optical tomography that inverts the Laplace-transformed time-domain coupled diffusion equations and employs a pair of appropriate transform-factors to effectively separate the fluorescent yield and lifetime parameters. By use of a time-correlation single-photon counting system and the normalized Born formulation, we experimentally validate that the proposed scheme can achieve simultaneous reconstruction of the fluorescent yield and lifetime distributions with a reasonable accuracy.

关键词： diagnostic radiography Image segmentation Medical imaging Optical tomography Three dimensional Time domain analysis Tomography

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An efficient Jacobian scaling method for time-domain optical mammography

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Chinese Optics Letters 2010年第2期8卷 206-209页

作者：马艺闻高峰阮平巧杨芳赵会娟 State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University College of Precision Instrument and Optoelectronics Engineering Tianjin University

Time-domain diffuse optical tomography can efficiently reconstruct optical parameters which can be further applied in diagnosing early breast cancer. Nevertheless, the performances of reconstructed imaging are badly influenced by different Jacobian magnitudes of absorption coefficient and reduced scattering coefficient. With the introudction of a relative data type based on generalized pulse spectrum technique, an efficient Jacobian scaling method is proposed. The interrelated simulated validation is also revealed for the enhancing performances.

关键词： diagnostic radiography Optical tomography

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Hepatic CT image query using Gabor features

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Chinese Optics Letters 2004年第7期2卷 383-385页

作者：赵晨光程红岩庄天戈 Department of Biomedical Engineering shanghai Jiaotong University Shanghai 200030 Department of Radiology Hepatobiliary Surgery Hospital Shanghai 200030 Department of Biomedical Engineering shanghai Jiaotong University Shanghai 200030 retrieval scheme for liver computerize tomography (CT) images based on Gabor texture is presented. For each hepatic CT image we manually delineate abnormal regions within liver area. Then a continuous Gabor transform is utilized to analyze the texture of the pathology bearing region and extract the corresponding feature vectors. For a given sample image we compare its feature vector with those of other images. Similar images with the highest rank are retrieved. In experiments 45 liver CT images are collected and the effectiveness of Gabor texture for content based retrieval is verified.

A retrieval scheme for liver computerize tomography (CT) images based on Gabor texture is presented. For each hepatic CT image, we manually delineate abnormal regions within liver area. Then, a continuous Gabor transform is utilized to analyze the texture of the pathology bearing region and extract the corresponding feature vectors. For a given sample image, we compare its feature vector with those of other images. Similar images with the highest rank are retrieved. In experiments, 45 liver CT images are collected, and the effectiveness of Gabor texture for content based retrieval is verified.

关键词： Biological organs Computerized tomography diagnostic radiography Feature extraction Mathematical transformations

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Electromagnetically induced transparency induced by a 100% amplitude-modulated coupling field

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Optoelectronics Letters 2009年第1期5卷 73-76页

作者：李晓莉张连水杨丽君冯晓敏赵敏 College of Physical Science and Technology Hebei University

We present a study of electromagnetically induced transparency(EIT) under the excitation of a 100% amplitude-modulated(AM) coupling *** EIT feature is associated with a Λ type three-level configuration where a coupling and probe field couples two separate optical transitions and it is well-known that the spectrum of the swept probe field gives a simple single transparency feature induced by the single mode coupling *** is shown that when a 100% AM coupling field is applied,there is an EIT doublet...

关键词： Amplitude modulation diagnostic radiography Electric impedance Electric impedance tomography Probes Transparency

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