8 results about "Gastric antrum" patented technology

The embodiment of the invention discloses an intelligent recognition and grading method for gastric intestinal metaplasia, and the method comprises the steps: collecting a gastric mucosa HE staining digital pathological image, and building a universal part recognition model through a convolutional neural network according to the pathological classification standards of different parts of a stomach body, gastric antrum and gastric horn. In order to reduce judgment errors caused by other glands, a semantic segmentation model is trained, and the gastric mucosa is accurately found out. On the basis, a developed high-precision detection and recognition algorithm is used for recognizing the enteric glands, and quantitative determination is carried out on the enteric glands in the gastric mucosa of the stomach body, the antrum and the corner of the stomach. And the identified target glands are automatically counted, and intelligent OLGIM grading is carried out.

The utility model discloses a kind of cutting gland cutting gizzard integrated machine processing, cutting gland cutting gizzard integrated machine processing's chicken gizzard system includes chicken gizzard, gland and gizzard. Cutting gland cutting gizzard integrated machine includes rack, the front end of rack is provided with feed hopper assembly, feed hopper assembly includes feed hopper and the inclination angle adjusting mechanism of adjusting feed hopper inclination angle. Along the length direction of rack, conveying device is provided on rack, the rear end of conveying device is also provided with clamping gizzard device, conveying device and clamping gizzard device partially overlap;From front to back, cutting gizzard device and cutting gland device are also sequentially provided on rack;Gland discharge channel is also provided on rack, gland discharge channel is located below cutting gland device;Chicken gizzard discharge channel is also provided on rack, chicken gizzard discharge channel is located below clamping gizzard device, the inclination angle of the feed hopper of cutting gland cutting gizzard integrated machine of the utility model can be adjusted, to further can better cooperate with hoist work, reduce feeding difficulty, improve production efficiency, to further improve the economic benefit of enterprise.

The application relates to an automatic device for simultaneously pulling a liver and a stomach during a laparoscopic pancreas operation. The device is simple to install and can be adjusted according to the situation during the operation. The gas bag device can prevent the liver from being sharply cut and bleeding during the pulling process. The two elastic pulling belts can help pull most of the tissues including the gastric antrum and the gastric body upwards and effectively protect the blood supply of the stomach. The pancreas can be fully exposed through the pulling device, so that the hands of the surgeon are greatly liberated, and the pancreas operation is more delicate and comfortable.

The invention discloses an ultrasound-based antral sinus state detection method and device. The method comprises the following steps: acquiring an antral sinus ultrasound image of a target object; the antral sinus ultrasonic image is recognized, and the antral sinus state of the antral sinus ultrasonic image is obtained through recognition; segmenting the antral ultrasound image to obtain an antral normal area of the antral ultrasound image; determining the area of the normal gastric antrum region according to the normal gastric antrum region obtained through segmentation; and according to the antral state and the area of the antral normal region, determining a mistaken aspiration risk level. The functions of gastric antrum state evaluation, gastric antrum normal region area calculation, gastric antrum lesion type and lesion level evaluation, mistaken aspiration risk evaluation and the like can be realized by performing identification, segmentation and classification processing on the gastric antrum ultrasonic image of the target object; the accuracy and reliability of a detection result are improved, the medical cost is reduced, the repeatability is improved, and a more efficient, safer and more accurate gastric antrum detection and evaluation method is provided for clinic.

The invention discloses a digestive endoscopic ESD (Electro-Static Discharge) operation simulation training device which comprises an outer box and a stomach model located in the outer box, an inner shell used for lifting the stomach model is arranged in the outer box, a creeping simulation mechanism is arranged on the inner shell, and the creeping simulation mechanism comprises a plurality of capsule bodies located on the outer side of the inner shell and a driving assembly located in the inner shell; the driving assembly comprises a power module and a plurality of pushing and injecting modules corresponding to the bags, and the power module controls the bags to shrink and expand in sequence by sequentially driving the pushing and injecting modules to pump and inject the pressure transmitting media. According to the invention, a plurality of bag bodies are arranged at the great bending part of the stomach of the stomach model, and the bag bodies are sequentially filled with and extracted back from the pressure transmitting medium, so that directional peristaltic waves spread from the upper part of the stomach to the antral antrum can be manufactured by utilizing the sequential expansion and contraction of the bag bodies, and the peristaltic condition of the stomach of a human body is simulated; therefore, a more real and dynamic training scene can be provided, and trainees can obtain a more sufficient and robust training effect.

The application discloses an ultrasonic-based gastric wall peristalsis detection method and device, equipment and storage medium, relates to the technical field of ultrasonic imaging, and the method ensures high space-time resolution of original data by continuously collecting dynamic echo signals of the transverse plane of the anterior wall of the gastric antrum through a high-frame-rate ultrasonic probe; then, the difference between adjacent frames of images is analyzed by adopting a phase tracking and cross-correlation algorithm, and gastric wall movement is converted into a quantifiable discrete displacement vector field; in the next step, the discrete displacement field is fitted into a continuous propagation trajectory, and the propagation process of peristaltic waves from the gastric body to the pylorus is intuitively presented; secondly, key kinetic parameters such as propagation speed and peristaltic intensity are extracted from the trajectory by a multi-scale feature fusion algorithm, and the leap from qualitative observation to quantitative evaluation is realized; finally, the fusion visualization of vector arrows and color coding simultaneously presents three-dimensional information of the propagation direction, speed and intensity of peristaltic waves, and the detection precision of gastric wall peristalsis is relatively obviously improved.

The embodiment of the invention relates to a method and a device for predicting focal areas of gastric antrum and gastroesophagus. The method comprises the following steps: constructing a first segmentation model and a second segmentation model; constructing a first data set to train a first segmentation model for training; after the training is finished, constructing a second data set based on the first data set and the first segmentation model, and training a second segmentation model based on the second data set; and after training is finished, on the basis of the first segmentation model and the second segmentation model, gastric antrum and gastroesophagus focus area prediction is carried out on the stomach CT image. According to the invention, the focus area prediction accuracy can be improved.

The invention discloses a gastric antrum peristalsis image processing method and system based on a double-lens gastroscope capsule. The method comprises the following steps: acquiring a gastric antrum video sequence shot by the double-lens gastroscope capsule in the stomach of a human body; the double lenses are a first lens and a second lens which are arranged at two axial ends of the gastroscope capsule and are used for respectively acquiring images of a forward view angle and a backward view angle of the capsule; performing motion information processing on the video sequences from the first shot and the second shot to obtain motion features representing gastric wall deformation or image displacement; based on the motion features of the first lens and the second lens, consistency analysis is carried out on the motion directions, change trends and periodic features of the first lens and the second lens in the same time period, and when the motion features of the two lenses meet a preset consistency condition, it is judged that a gastric antrum wriggle event exists in the corresponding time period; and judging time sequence integrity and outputting a result. The accuracy and stability of gastric antrum peristalsis image recognition are improved.