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851 results about "Esophageal cancer" patented technology

Tumor in the tube which connects from throat to the stomach.

Traditional Chinese medicine preparation for treating cancer and preparation method thereof

The invention discloses a traditional Chinese medicine preparation for treating cancer, which is prepared by 103 types of bulk drugs such as solidago decurrens, Chinese sage herb, hypericum japonicumand the like. A preparation method of the traditional Chinese medicine preparation comprises the following steps: preparing the bulk drugs into water extract by a conventional method; using the prepared water extract for preparing oral solution by a traditional method; drying the obtained water extraction, then conducting grinding and sieving; taking the throughs for extracting powder, and using the extracted powder for preparing tablets, granules, electuaries or capsules by a traditional method. The preparation method also can be as follows: sieving out the dust of the bulk drugs, conductinggrinding and sieving, taking the throughs, conducting disinfection and sterilization to obtain raw powder, and using the raw powder for preparing tablets, granules, electuaries or capsules by a traditional method. With drugs mixed rationally, the traditional Chinese medicine preparation addresses both the symptoms and root causes of cancer. The bulk drugs are frequently-used common Chinese drugs,have low preparation cost and small side effect, and can effectively enhance own immunity, attack pathogen while do not damage body. The traditional Chinese medicine preparation can cure various typesof cancer, particularly lung cancer, stomach cancer, liver cancer, esophageal cancer, pancreatic cancer, cervical cancer and breast cancer.
Owner:卢速江

Nanocomposite temperature-sensitive gel and preparation method and application thereof

The invention relates to a nanocomposite temperature-sensitive gel and a preparation method and an application thereof. The preparation method comprises the following steps of: coating antitumor active substances with a high molecular polymer serving as a carrier material to obtain nanoparticles; and adding a temperature-sensitive high molecular material to obtain the nanocomposite temperature-sensitive gel. The preparation method disclosed by the invention is simple and convenient, is suitable for large-scale production, and is particularly suitable for preparing medicaments or diagnostic reagents having the characteristics of long cycle, biodegradability, slow release, passive targeting, active targeting, active substance conveying function and tumor resistance. An antitumor medicament prepared with the method disclosed by the invention is suitable for ways such as intravenous injection, intramuscular injection, hypodermic injection, intradermal injection, intratumor injection, tumor-side injection, oral administration or transdermal medicament delivery and the like, is applied to treatment and diagnosis of pancreatic cancer, liver cancer, lung cancer, gastric cancer, colorectal cancer, esophageal cancer, prostatic cancer, uterine cancer and ovarian cancer, and has a good application prospect.
Owner:SHANGHAI INST OF ONCOLOGY

An automatic esophageal cancer pathological image discriminating device based on a convolution neural network and a discriminating method thereof

The invention discloses an esophageal cancer pathological image automatic discrimination device based on a convolution neural network and a discrimination method thereof. The device comprises an imageacquisition module, an image processing module, a data storage module, a migration learning module, a network training module and a discrimination module. The screening method of the invention comprises the following steps: 1, an image acquisition module collects pathological images and constructs an image database of pathological slices of esophageal cancer; 2, each pathological image database is expanded through an image processing module; 3, the expanded pre-training network pathological image data set is used to complete the migration learning; 4. on the basis of the acquired convolutional neural network structure, the network is trained with the expanded pathological image data set of esophageal cancer and the weights are fine-tuned to get the discriminant network model, and the intelligent discriminant is realized with the discriminant module. The invention overcomes the over-fitting problem in the depth learning process caused by the labeled esophageal cancer pathological imagedata set as a training sample due to the lack of large-scale disclosure, and improves the recognition rate.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
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