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341 results about "Tumor detection" patented technology

Detection of cancer can be done in various ways and usually depends on the stage in which the cancerous tumors are traced. Basic methods like X-rays, ultrasound, CT (Computed Tomography) scan, MRI (Magnetic Resonance Imaging) scan and biopsy are quite efficient in detecting the tumors in the initial stages.

Methods for detecting and confirming minimal disease

The present invention provides improved methods for detection of minimal disease. More specifically, the invention provides methods for combining cell sorting with clonality profiling to effectively lower sensitivity limits for disease detection and to provide independent confirmation of the tumor detection without the need for patient specific assay designs.
Owner:HEMATOLOGICS

Automatic extraction method of three-dimensional breast full-volume image regions of interest

The invention belongs to the field of image processing, and particularly relates to an automatic extraction method of regions of interest in three-dimensional breast full-volume images (ABVS). The method comprises the following steps: processing the continuous cross section two-dimensional images in three-dimensional ABVS images by using a maximum direction-based phase information method to obtain the candidate regions of interest on each cross section image; removing the unrelated regions according to the prior knowledge such as the continuity and position characteristic of breast tumor on the two-dimensional cross section images; obtaining the shape and texture features of the residual suspected tumor regions, inputting the shape and texture shapes to a two-valued logistic regression classifier to obtain the probability of each region becoming tumor and selecting the region with the maximum probability as the tumor region; obtaining the minimum ellipsoid comprising the region of interest according to the selected region to serve as the region of interest. The automatic extraction method provided by the invention can be used for realizing the automatic extraction of tumor regions of interest in the three-dimensional ABVS images, obtaining the correct positions of tumor, decreasing the workload of the manual operation and providing important reference to further tumor detection.
Owner:FUDAN UNIV

Nano-fluorescent probe with quantum dots and application of nano-fluorescent probe with quantum dots on tumor targeting detection

The invention belongs to the technical field of biomedicine detection, in particular to a method for preparing a nano-fluorescent probe with the quantum dots and an application of the nano-fluorescent probe with the quantum dots on tumor detection. According to the method, aiming at the defects that the traditional preparation method of the quantum dots is complicate to operate and high in cost, a simple and cheap water phase synthetic technique with the quantum dots is provided. The specific synthetic process comprises the synthesis of the water soluble quantum dots, the synthesis of a biocompatible modifier (mPEG) and a tumor cell targeting modifier (cRGD) with the sulfydryl functional groups and a direction reaction between the quantum dots and the two modifiers with the sulfydryl functional groups. According to the method provided by the invention, the preparing raw materials are easy to obtain, the whole preparation process is covalent modification under the conventional condition and the properties of the quantum dots and the modifiers are not changed, and the functions of in vivo long circulation and special cell targeting are simultaneously given for the quantum dots through a one-step reaction, so that the cost is effectively reduced. The modified fluorescent and bright quantum dots obtained by the method are about 5nm in particle size, strong in anti-photo-bleaching property, and have good biocompatibility. The transfection efficiency of the quantum dots on human breast cancer MDA-MB-231 cells can be effectively regulated and controlled by further adjusting the mole ratio of mPEG to cRGD on the surfaces of the quantum dots, so that the nano-fluorescent probe with quantum dots can be applied to the cell fluorescent imaging detection of the tumor targeting.
Owner:NANJING UNIV

Multiple lung cancer-related gene methylation combined detection kit, multiple lung cancer-related gene methylation combined detection method, and applications of multiple lung cancer-related gene methylation combined detection kit

The invention provides a multiple lung cancer-related gene methylation combined detection kit, which comprises: a detection reagent for specifically detecting the DNA methylation of human SHOX2 gene;a detection reagent for specifically detecting the DNA methylation of human RASSF1A gene; a detection reagent for specifically detecting the DNA methylation of human ANKRD18B gene; and a detection reagent for specifically detecting the DNA methylation of human MPDZ gene, wherein preferably the detection reagents are primers and probes. The invention further provides applications of the multiple lung cancer-related gene methylation combined detection kit in multiple lung cancer-related gene methylation combined detection, and a multiple lung cancer-related gene methylation combined detection method. According to the present invention, the multiple lung cancer-related gene methylation combined detection kit can perform the combined detection on the multiple lung cancer-related gene methylation, can significantly improve the tumor detection rate, has advantages of clever design and simple structure, and is suitable for large-scale promotion and applications.
Owner:上海透景诊断科技有限公司

Breast cancer MRI segmentation method based on hierarchical convolutional neural network

The invention discloses a breast cancer MRI segmentation method based on a hierarchical convolutional neural network, and the method integrates a plurality of algorithms, and comprises the specific steps: training a full convolutional network FCN model, and obtaining the global and local structure information of an input image through employing a 3D U-Net architecture; training the other two FCN models by taking the breast mask as a guide, and respectively estimating a coarse segmentation result and a refined initial result; developing a detection model based on the mark points; detecting twomarkers for biopsy tumor selection and radiogenomics so that common problems in mammary gland DEC-MR image segmentation are well solved. The common problems include imbalance-like problems, confusionproblems and the like which are difficult to solve, and a learning framework is designed to segment mammary gland tumors from coarse to fine; the biopsy tumor in all the detected tumors is determinedby using the tumor position information and the marking information, and the biopsy tumor detection system is ingenious in automatic detection and design, high in accuracy and convenient to popularizeand use.
Owner:HARBIN UNIV OF SCI & TECH

Novel mammary gland MRI automatic auxiliary diagnosis method based on fusion attention mechanism

The invention relates to a novel mammary gland MRI automatic auxiliary diagnosis method based on a fusion attention mechanism. The novel mammary gland MRI automatic auxiliary diagnosis method comprises the following steps: S1, manually selecting a mammary gland segmentation data set, training a DenseUNet model, inputting a TSE sequence of mammary glands into the trained DenseUNet model for mammarygland segmentation, and removing organs interfering with tumor detection in the thoracic cavity; S2, mapping the segmentation result obtained in the step S1 to a DCE sequence, to obtaining the segmented mammary tissues, inputting the segmented mammary tissues into an ADUNet model with an attention mechanism to perform tumor segmentation, and aiming at the problems of class imbalance and difficultsamples, adopting Focal Loss in a training process to prevent the model from deviating; S3, inputting the result obtained in the S2 into a lightweight neural network, and carrying out benign and malignant judgment to obtain an auxiliary diagnosis result. According to the invention, the end-to-end breast cancer auxiliary diagnosis can be realized without manual intervention, and the diagnosis efficiency and accuracy can be greatly improved.
Owner:SHANGHAI TONGJI HOSPITAL +1

CEA (carcinoembryonic antigen) resistant nanomater antibody with high appetency and application

The invention discloses a CEA (carcinoembryonic antigen) resistant nanomater antibody with high appetency. The nanomater antibody has unique three complementary determining regions CDR1, CDR2 and CDR3. The invention also discloses application of the nanomater antibody to tumor treatment medicine and tumor detection reagents. The CEA resistant nanomater antibody provided by the invention has specific recognition and combination capability on CEA; the appetency of the nanomater antibody can reach 10 to 11; seven kinds of CEA analogues do not take conjugation reaction; during the detection on theCEA in a serum sample, the sensitivity can reach 1ng / ml; the condition shows that the nanomater antibody provided by the invention has high specificity and sensitivity.
Owner:深圳市国创纳米抗体技术有限公司

Human tissue autofluorescence detection system based on excitation of light sources with different wavelength

InactiveCN101975769AExciting goodGood detectabilityFluorescence/phosphorescenceEndoscopyPulsed laser
The invention relates to an autofluorescence detection system for exciting specific endogenous fluorescent substances in a human tissue by light sources with different wavelengths and detecting information of fluorescence with specific wavelength corresponding to the fluorescent substances in endoscopy for the human early tumor tissue. The autofluorescence detection system mainly consists of an excitation light source part, an excitation-detection-acquisition part, an optical collection part, a signal preprocessing part and a computer part. The autofluorescence detection system is characterized in that a tunable laser (1) can adjust the needed pulse laser wavelengths according to the specific endogenous fluorescent substances in the human tissue, and a filter wheel (10) is equipped with narrow band pass filters with different center wavelengths. The system can excite the specific endogenous fluorescent substances in the human tissue by a plurality of optimal excitation wavelengths sequentially, thus avoiding the problem of no benefit for analysis owing to insufficient fluorescence information or information overlap and the like caused by excitation of single wavelength or broad spectrum light sources, and improving sensitivity and specificity of early tumor detection.
Owner:FUJIAN NORMAL UNIV

Multi-target evolutionary fuzzy rule classification method based on decomposition

The invention discloses a multi-target evolutionary fuzzy rule classification method based on decomposition, which mainly solves the problem of poor classification effect of an existing classification method on unbalanced data. The multi-target evolutionary fuzzy rule classification method comprises the steps of: obtaining a training data set and a test data set; normalizing and dividing the training data set into a majority class and a minority class; initializing an ignoring probability, a fuzzy partition number and a membership degree function; initializing an original group, and determining weight by adopting a fuzzy rule weight formula with a weighting factor; determining stopping criteria for iteration, iteration times, a step size and an ideal point; dividing direction vectors according to groups; performing evolutionary operation on the original group, and updating the original group by adopting a Chebyshev update mode until the criteria for iteration is stopped; obtaining classification results of the test data set; then projecting to obtain AUCH and output. The multi-target evolutionary fuzzy rule classification method has the advantages of high operating speed and good classification effect and can be applied in the technical fields of tumor detection, error detection, credit card fraud detection, spam messages recognition and the like.
Owner:XIDIAN UNIV

Polymer carbon dot with high fluorescent quantum yield and preparation method thereof, and application of polymer carbon dot to targeted detection of tumor cells

The invention provides a polymer carbon dot with high fluorescent quantum yield and a preparation method thereof, and application of the polymer carbon dot to targeted detection of tumor cells, belonging to the technical field of polymer carbon points. According to the invention, a bio-targeting molecule folic acid is used as a raw material and a simple hydrothermal method is employed for one-step synthesis of the polymer carbon spot with high fluorescence quantum yield; and the polymer carbon spot has the functions of targeted detection and selective imaging of tumor cells. The polymer carbon dot provided by the invention has the advantages of simple synthesis method, small and uniform particle size, high quantum yield, low biological toxicity, good biocompatibility and the like. The fluorescent polymer carbon dot has high quantum yield, can be used for biological imaging, presents a tumor cell-targeting function, is applicable as a fluorescent imaging material for diagnosis and treatment of cancers, and plays an important role in fields like tumor detection and drug sustained release.
Owner:JILIN UNIV
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