93 results about "Cerebral Tumor" patented technology

Pharmaceutical composition comprising antibodies or antigen binding fragments thereof that bind to stage-specific embryonic antigen 4 (SSEA-4) are disclosed herein, as well as methods of use thereof. Methods of use include, without limitation, cancer therapies and diagnostics. The antibodies of the disclosure can bind to certain cancer cell surfaces. Exemplary targets of the antibodies disclosed herein can include carcinomas, such as breast cancer, lung cancer, esophageal cancer, rectal cancer, biliary cancer, liver cancer, buccal cancer, gastric cancer, colon cancer, nasopharyngeal cancer, kidney cancer, prostate cancer, ovarian cancer, cervical cancer, endometrial cancer, pancreatic cancer, testicular cancer, bladder cancer, head and neck cancer, oral cancer, neuroendocrine cancer, adrenal cancer, thyroid cancer, bone cancer, skin cancer, basal cell carcinoma, squamous cell carcinoma, melanoma, and / or brain tumor.

The invention discloses an application of a compound as a JAK-STAT3 signal passage inhibitor, and particularly relates to an application of a compound with a formula I or pharmaceutically acceptable salt of the compound in the process of preparing an anti-tumor medicament. The application provides a novel treating candidate medicament for a tumor patient, thereby probably further improving the treatment effect on the patient and improving the prognosis of the patient. The compound with the formula I or the pharmaceutically acceptable salt of the compound has the effect on various tumor cells, which indicates that the compound can be used for treating various cancers including cerebral tumor, genitourinary system tumor, lymphatic system tumor, stomach cancer, laryngeal cancer, nasopharyngeal cancer, skin cancer, bone cancer, blood cancer, leukemia, breast cancer and histiocytic lymphoma, non-small cell lung cancer, small-cell lung cancer, lung adenocarcinoma, lung squamous cell cancer, pancreatic cancer, prostatic cancer, liver cancer, epithelial cell cancer and the like. The definition of genes in the formula refers to description for details.

A method and system for classifying tissue endomicroscopy images are disclosed. Local feature descriptors are extracted from an endomicroscopy image. Each of the local feature descriptors is encoded using a learnt discriminative dictionary. The learnt discriminative dictionary includes class-specific sub-dictionaries and penalizes correlation between bases of sub-dictionaries associated with different classes. Tissue in the endomicroscopy image is classified using a trained machine learning based classifier based on the coded local feature descriptors encoded using a learnt discriminative dictionary.

The invention discloses a MRI (Magnetic Resonance Imaging) image segmentation method based on fuzzy thought and a level set frame, and mainly solves the problem of segmentation errors and low calculation speed generated since an original segmentation method can not overcome an intensity non-uniformity phenomenon or noise interference in the MRI process that the nuclear magnetic resonance image is segmented. The method comprises the following implementation steps: 1) inputting an original nuclear magnetic resonance image; 2) carrying out iterative computation on a magnetic resonance image matrix to solve a membership matrix u corresponding to a magnetic resonance image matrix I; 3) regulating an evolution propulsive parameter, and guaranteeing that the membership matrix u is subjected to exact convergence on a target outline; and 4) representing different areas in the image matrix I with different element values of the membership matrix u to obtain an anticipatory segmentation result. By use of the method, the segmentation process of the nuclear magnetic resonance image can be effectively and quickly finished, an accurate target area can be obtained, and the method can be used for cerebral tumor detection and cancer cell examination in a MRI medical image.

The invention relates to the field of antineoplastic medicines and provides a betulinic acid analogue with the structure shown in figure (1) or solvate thereof. The definition of R1, R2, X and n is in the specification. The invention also provides the a preparation method of the betulinic acid analogue with the structure shown in figure (1) or the solvate thereof, and the applications of pharmaceutical compositions containing the betulinic acid analogue or the solvate thereof and medicines using the betulinic acid analogue or the solvate thereof as the effective constituent for preparing antineoplastic medicines for treating pulmonary cancer, prostatic cancer, colon cancer, leukemia, mammary cancer, liver cancer, gastric cancer, pancreatic cancer, malignant neuroglioma, cerebral tumor, and the like.

The invention relates to the field of antineoplastic medicines and provides a betulinic acid analogue with the structure shown in figure (1) or solvate thereof. The definition of R1, R2, X and n is inThe invention relates to the field of antineoplastic medicines and provides a betulinic acid analogue with the structure shown in figure (1) or solvate thereof. The definition of R1, R2, X and n is inthe specification. The invention also provides the a preparation method of the betulinic acid analogue with the structure shown in figure (1) or the solvate thereof, and the applications of pharmaceu the specification. The invention also provides the a preparation method of the betulinic acid analogue with the structure shown in figure (1) or the solvate thereof, and the applications of pharmaceutical compositions containing the betulinic acid analogue or the solvate thereof and medicines using the betulinic acid analogue or the solvate thereof as the effective constituent for preparing antintical compositions containing the betulinic acid analogue or the solvate thereof and medicines using the betulinic acid analogue or the solvate thereof as the effective constituent for preparing antineoplastic medicines for treating pulmonary cancer, prostatic cancer, colon cancer, leukemia, mammary cancer, liver cancer, gastric cancer, pancreatic cancer, malignant neuroglioma, cerebral tumor, andeoplastic medicines for treating pulmonary cancer, prostatic cancer, colon cancer, leukemia, mammary cancer, liver cancer, gastric cancer, pancreatic cancer, malignant neuroglioma, cerebral tumor, andthe like. the like.

The invention discloses a brain tumor segmentation method of a deep residual network based on U-Net architecture. The brain tumor segmentation method comprises the following steps: S1, constructing acombined convolution block of the deep residual network; and S2, constructing a branch structure network for implementing the three-branch structure model; and S3, combining to form an integral network of the three-branch structure model. The method has the advantages that the network performance can be more effectively prevented from being reduced, and the network performance can be better improved. Besides, standardizing, cutting and removing the focus-free image data of each modal image data, and finally combining the focus-free image data into multi-channel data. Therefore, experimental results show that the algorithm has advanced performance. Tumor segmentation effect is greatly improved.

The invention belongs to the technical field of traditional Chinese medicine, and particularly relates to application of lawn pennywort herb liver-healing tablets in preparation of a drug for inhibiting cell proliferation of cerebral tumor cells SF767 and a preparation method of the lawn pennywort herb liver-healing tablets.The lawn pennywort herb liver-healing tablets are prepared from 699 g of lawn pennywort herb, 1,398 g of herba pimpinellae, 699 g of creeping woodsorrel herb and 209 g of brooklet anemone roots.The lawn pennywort herb liver-healing tablets are prepared by means of supercritical extraction, and the content of oleanolic acid is greatly increased.

The present invention relates to a Chinese medicine for external application for effectively curing intermediate and late cerebral tumor with obvious therapeutic effect. Said Chinese medicine is made up by using 20 Chinese medicinal materials of scorpion, aconite main tuber, wild aconite tuber, meretrix clam shell, pangolin scales, silkworm, nux vomica, musk and others through a certain preparation process. Said invention also provides the concrete steps of said preparation process.